Update README.md

edit the download links and guide for use pre-relased version.

README.md

@@ -14,7 +14,25 @@ Get up and running with large language models locally.
 
 ### Windows preview
 
-[Download](https://ollama.com/download/OllamaSetup.exe)
+[Download](https://github.com/likelovewant/ollama-for-amd/releases)
+
+For AMD use or build , please follow the guide on [wiki](https://github.com/likelovewant/ollama-for-amd/wiki)
+
+official support list
+```
+   "gfx900"   "gfx906:xnack-"   "gfx908:xnack-" "gfx90a:xnack+" "gfx90a:xnack-"   "gfx940" "gfx941"  "gfx942"    "gfx1010""gfx1012"  "gfx1030" "gfx1100""gfx1101" "gfx1102"
+```
+Please download from ollama [official](https://ollama.com/download/OllamaSetup.exe)
+
+Example extra list add on this repo.
+```
+   "gfx803" "gfx902"  "gfx904""gfx940" "gfx941" "gfx942" "gfx1010" "gfx1011" "gfx1012"  "gfx1031"  "gfx1032""gfx1034" "gfx1035" "gfx1036" "gfx1103" 
+```
+Please follow the [wiki](https://github.com/likelovewant/ollama-for-amd/wiki) guide to build or use the pre-release version.
+
+Note: `gfx803, gfx1010` reported not working by the wiki method ,expected a future support 
+
+
 
 ### Linux
 
@@ -258,6 +276,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
 
 - [Open WebUI](https://github.com/open-webui/open-webui)
 - [Enchanted (macOS native)](https://github.com/AugustDev/enchanted)
+- [Hollama](https://github.com/fmaclen/hollama)
 - [Lollms-Webui](https://github.com/ParisNeo/lollms-webui)
 - [LibreChat](https://github.com/danny-avila/LibreChat)
 - [Bionic GPT](https://github.com/bionic-gpt/bionic-gpt)
@@ -284,17 +303,20 @@ See the [API documentation](./docs/api.md) for all endpoints.
 - [OllamaGUI](https://github.com/enoch1118/ollamaGUI)
 - [OpenAOE](https://github.com/InternLM/OpenAOE)
 - [Odin Runes](https://github.com/leonid20000/OdinRunes)
-- [LLM-X: Progressive Web App](https://github.com/mrdjohnson/llm-x)
+- [LLM-X](https://github.com/mrdjohnson/llm-x) (Progressive Web App)
 - [AnythingLLM (Docker + MacOs/Windows/Linux native app)](https://github.com/Mintplex-Labs/anything-llm)
 - [Ollama Basic Chat: Uses HyperDiv Reactive UI](https://github.com/rapidarchitect/ollama_basic_chat)
 - [Ollama-chats RPG](https://github.com/drazdra/ollama-chats)
-- [QA-Pilot: Chat with Code Repository](https://github.com/reid41/QA-Pilot)
-- [ChatOllama: Open Source Chatbot based on Ollama with Knowledge Bases](https://github.com/sugarforever/chat-ollama)
-- [CRAG Ollama Chat: Simple Web Search with Corrective RAG](https://github.com/Nagi-ovo/CRAG-Ollama-Chat)
-- [RAGFlow: Open-source Retrieval-Augmented Generation engine based on deep document understanding](https://github.com/infiniflow/ragflow)
-- [chat: chat web app for teams](https://github.com/swuecho/chat)
+- [QA-Pilot](https://github.com/reid41/QA-Pilot) (Chat with Code Repository)
+- [ChatOllama](https://github.com/sugarforever/chat-ollama) (Open Source Chatbot based on Ollama with Knowledge Bases)
+- [CRAG Ollama Chat](https://github.com/Nagi-ovo/CRAG-Ollama-Chat) (Simple Web Search with Corrective RAG)
+- [RAGFlow](https://github.com/infiniflow/ragflow) (Open-source Retrieval-Augmented Generation engine based on deep document understanding)
+- [StreamDeploy](https://github.com/StreamDeploy-DevRel/streamdeploy-llm-app-scaffold) (LLM Application Scaffold)
+- [chat](https://github.com/swuecho/chat) (chat web app for teams)
 - [Lobe Chat](https://github.com/lobehub/lobe-chat) with [Integrating Doc](https://lobehub.com/docs/self-hosting/examples/ollama)
-- [Ollama RAG Chatbot: Local Chat with multiple PDFs using Ollama and RAG.](https://github.com/datvodinh/rag-chatbot.git)
+- [Ollama RAG Chatbot](https://github.com/datvodinh/rag-chatbot.git) (Local Chat with multiple PDFs using Ollama and RAG)
+- [BrainSoup](https://www.nurgo-software.com/products/brainsoup) (Flexible native client with RAG & multi-agent automation)
+- [macai](https://github.com/Renset/macai) (macOS client for Ollama, ChatGPT, and other compatible API back-ends)
 
 ### Terminal
 
@@ -327,6 +349,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
 
 - [Pacman](https://archlinux.org/packages/extra/x86_64/ollama/)
 - [Helm Chart](https://artifacthub.io/packages/helm/ollama-helm/ollama)
+- [Guix channel](https://codeberg.org/tusharhero/ollama-guix)
 
 ### Libraries
 
@@ -348,10 +371,13 @@ See the [API documentation](./docs/api.md) for all endpoints.
 - [Haystack](https://github.com/deepset-ai/haystack-integrations/blob/main/integrations/ollama.md)
 - [Elixir LangChain](https://github.com/brainlid/langchain)
 - [Ollama for R - rollama](https://github.com/JBGruber/rollama)
+- [Ollama for R - ollama-r](https://github.com/hauselin/ollama-r)
 - [Ollama-ex for Elixir](https://github.com/lebrunel/ollama-ex)
 - [Ollama Connector for SAP ABAP](https://github.com/b-tocs/abap_btocs_ollama)
 - [Testcontainers](https://testcontainers.com/modules/ollama/)
-
+- [Portkey](https://portkey.ai/docs/welcome/integration-guides/ollama)
+- [PromptingTools.jl](https://github.com/svilupp/PromptingTools.jl) with an [example](https://svilupp.github.io/PromptingTools.jl/dev/examples/working_with_ollama)
+- [LlamaScript](https://github.com/WolfTheDeveloper/llamascript)
 ### Mobile
 
 - [Enchanted](https://github.com/AugustDev/enchanted)
@@ -370,12 +396,13 @@ See the [API documentation](./docs/api.md) for all endpoints.
 - [Ollama Telegram Bot](https://github.com/ruecat/ollama-telegram)
 - [Hass Ollama Conversation](https://github.com/ej52/hass-ollama-conversation)
 - [Rivet plugin](https://github.com/abrenneke/rivet-plugin-ollama)
-- [Llama Coder](https://github.com/ex3ndr/llama-coder) (Copilot alternative using Ollama)
 - [Obsidian BMO Chatbot plugin](https://github.com/longy2k/obsidian-bmo-chatbot)
 - [Cliobot](https://github.com/herval/cliobot) (Telegram bot with Ollama support)
 - [Copilot for Obsidian plugin](https://github.com/logancyang/obsidian-copilot)
 - [Obsidian Local GPT plugin](https://github.com/pfrankov/obsidian-local-gpt)
 - [Open Interpreter](https://docs.openinterpreter.com/language-model-setup/local-models/ollama)
+- [Llama Coder](https://github.com/ex3ndr/llama-coder) (Copilot alternative using Ollama)
+- [Ollama Copilot](https://github.com/bernardo-bruning/ollama-copilot) (Proxy that allows you to use ollama as a copilot like Github copilot)
 - [twinny](https://github.com/rjmacarthy/twinny) (Copilot and Copilot chat alternative using Ollama)
 - [Wingman-AI](https://github.com/RussellCanfield/wingman-ai) (Copilot code and chat alternative using Ollama and HuggingFace)
 - [Page Assist](https://github.com/n4ze3m/page-assist) (Chrome Extension)
@@ -385,3 +412,4 @@ See the [API documentation](./docs/api.md) for all endpoints.
 
 ### Supported backends 
 - [llama.cpp](https://github.com/ggerganov/llama.cpp) project founded by Georgi Gerganov.
+

api/client.go

@@ -1,9 +1,16 @@
 // Package api implements the client-side API for code wishing to interact
 // with the ollama service. The methods of the [Client] type correspond to
-// the ollama REST API as described in https://github.com/ollama/ollama/blob/main/docs/api.md
-//
+// the ollama REST API as described in [the API documentation].
 // The ollama command-line client itself uses this package to interact with
 // the backend service.
+//
+// # Examples
+//
+// Several examples of using this package are available [in the GitHub
+// repository].
+//
+// [the API documentation]: https://github.com/ollama/ollama/blob/main/docs/api.md
+// [in the GitHub repository]: https://github.com/ollama/ollama/tree/main/examples
 package api
 
 import (
@@ -299,8 +306,14 @@ func (c *Client) Pull(ctx context.Context, req *PullRequest, fn PullProgressFunc
 	})
 }
 
+// PushProgressFunc is a function that [Client.Push] invokes when progress is
+// made.
+// It's similar to other progress function types like [PullProgressFunc].
 type PushProgressFunc func(ProgressResponse) error
 
+// Push uploads a model to the model library; requires registering for ollama.ai
+// and adding a public key first. fn is called each time progress is made on
+// the request and can be used to display a progress bar, etc.
 func (c *Client) Push(ctx context.Context, req *PushRequest, fn PushProgressFunc) error {
 	return c.stream(ctx, http.MethodPost, "/api/push", req, func(bts []byte) error {
 		var resp ProgressResponse
@@ -312,8 +325,15 @@ func (c *Client) Push(ctx context.Context, req *PushRequest, fn PushProgressFunc
 	})
 }
 
+// CreateProgressFunc is a function that [Client.Create] invokes when progress
+// is made.
+// It's similar to other progress function types like [PullProgressFunc].
 type CreateProgressFunc func(ProgressResponse) error
 
+// Create creates a model from a [Modelfile]. fn is a progress function that
+// behaves similarly to other methods (see [Client.Pull]).
+//
+// [Modelfile]: https://github.com/ollama/ollama/blob/main/docs/modelfile.md
 func (c *Client) Create(ctx context.Context, req *CreateRequest, fn CreateProgressFunc) error {
 	return c.stream(ctx, http.MethodPost, "/api/create", req, func(bts []byte) error {
 		var resp ProgressResponse
@@ -325,6 +345,7 @@ func (c *Client) Create(ctx context.Context, req *CreateRequest, fn CreateProgre
 	})
 }
 
+// List lists models that are available locally.
 func (c *Client) List(ctx context.Context) (*ListResponse, error) {
 	var lr ListResponse
 	if err := c.do(ctx, http.MethodGet, "/api/tags", nil, &lr); err != nil {
@@ -333,6 +354,8 @@ func (c *Client) List(ctx context.Context) (*ListResponse, error) {
 	return &lr, nil
 }
 
+// Copy copies a model - creating a model with another name from an existing
+// model.
 func (c *Client) Copy(ctx context.Context, req *CopyRequest) error {
 	if err := c.do(ctx, http.MethodPost, "/api/copy", req, nil); err != nil {
 		return err
@@ -340,6 +363,7 @@ func (c *Client) Copy(ctx context.Context, req *CopyRequest) error {
 	return nil
 }
 
+// Delete deletes a model and its data.
 func (c *Client) Delete(ctx context.Context, req *DeleteRequest) error {
 	if err := c.do(ctx, http.MethodDelete, "/api/delete", req, nil); err != nil {
 		return err
@@ -347,6 +371,7 @@ func (c *Client) Delete(ctx context.Context, req *DeleteRequest) error {
 	return nil
 }
 
+// Show obtains model information, including details, modelfile, license etc.
 func (c *Client) Show(ctx context.Context, req *ShowRequest) (*ShowResponse, error) {
 	var resp ShowResponse
 	if err := c.do(ctx, http.MethodPost, "/api/show", req, &resp); err != nil {
@@ -355,12 +380,16 @@ func (c *Client) Show(ctx context.Context, req *ShowRequest) (*ShowResponse, err
 	return &resp, nil
 }
 
+// Hearbeat checks if the server has started and is responsive; if yes, it
+// returns nil, otherwise an error.
 func (c *Client) Heartbeat(ctx context.Context) error {
 	if err := c.do(ctx, http.MethodHead, "/", nil, nil); err != nil {
 		return err
 	}
 	return nil
 }
+
+// Embeddings generates embeddings from a model.
 func (c *Client) Embeddings(ctx context.Context, req *EmbeddingRequest) (*EmbeddingResponse, error) {
 	var resp EmbeddingResponse
 	if err := c.do(ctx, http.MethodPost, "/api/embeddings", req, &resp); err != nil {
@@ -369,10 +398,13 @@ func (c *Client) Embeddings(ctx context.Context, req *EmbeddingRequest) (*Embedd
 	return &resp, nil
 }
 
+// CreateBlob creates a blob from a file on the server. digest is the
+// expected SHA256 digest of the file, and r represents the file.
 func (c *Client) CreateBlob(ctx context.Context, digest string, r io.Reader) error {
 	return c.do(ctx, http.MethodPost, fmt.Sprintf("/api/blobs/%s", digest), r, nil)
 }
 
+// Version returns the Ollama server version as a string.
 func (c *Client) Version(ctx context.Context) (string, error) {
 	var version struct {
 		Version string `json:"version"`

api/types.go

@@ -4,6 +4,7 @@ import (
 	"encoding/json"
 	"errors"
 	"fmt"
+	"log/slog"
 	"math"
 	"os"
 	"reflect"
@@ -12,6 +13,7 @@ import (
 	"time"
 )
 
+// StatusError is an error with and HTTP status code.
 type StatusError struct {
 	StatusCode   int
 	Status       string
@@ -32,6 +34,7 @@ func (e StatusError) Error() string {
 	}
 }
 
+// ImageData represents the raw binary data of an image file.
 type ImageData []byte
 
 // GenerateRequest describes a request sent by [Client.Generate]. While you
@@ -77,26 +80,44 @@ type GenerateRequest struct {
 	Options map[string]interface{} `json:"options"`
 }
 
+// ChatRequest describes a request sent by [Client.Chat].
 type ChatRequest struct {
-	Model     string    `json:"model"`
-	Messages  []Message `json:"messages"`
-	Stream    *bool     `json:"stream,omitempty"`
-	Format    string    `json:"format"`
+	// Model is the model name, as in [GenerateRequest].
+	Model string `json:"model"`
+
+	// Messages is the messages of the chat - can be used to keep a chat memory.
+	Messages []Message `json:"messages"`
+
+	// Stream enable streaming of returned response; true by default.
+	Stream *bool `json:"stream,omitempty"`
+
+	// Format is the format to return the response in (e.g. "json").
+	Format string `json:"format"`
+
+	// KeepAlive controls how long the model will stay loaded into memory
+	// followin the request.
 	KeepAlive *Duration `json:"keep_alive,omitempty"`
 
+	// Options lists model-specific options.
 	Options map[string]interface{} `json:"options"`
 }
 
+// Message is a single message in a chat sequence. The message contains the
+// role ("system", "user", or "assistant"), the content and an optional list
+// of images.
 type Message struct {
-	Role    string      `json:"role"` // one of ["system", "user", "assistant"]
+	Role    string      `json:"role"`
 	Content string      `json:"content"`
 	Images  []ImageData `json:"images,omitempty"`
 }
 
+// ChatResponse is the response returned by [Client.Chat]. Its fields are
+// similar to [GenerateResponse].
 type ChatResponse struct {
-	Model     string    `json:"model"`
-	CreatedAt time.Time `json:"created_at"`
-	Message   Message   `json:"message"`
+	Model      string    `json:"model"`
+	CreatedAt  time.Time `json:"created_at"`
+	Message    Message   `json:"message"`
+	DoneReason string    `json:"done_reason,omitempty"`
 
 	Done bool `json:"done"`
 
@@ -112,7 +133,8 @@ type Metrics struct {
 	EvalDuration       time.Duration `json:"eval_duration,omitempty"`
 }
 
-// Options specified in GenerateRequest, if you add a new option here add it to the API docs also
+// Options specified in [GenerateRequest], if you add a new option here add it
+// to the API docs also.
 type Options struct {
 	Runner
 
@@ -141,7 +163,6 @@ type Runner struct {
 	UseNUMA   bool `json:"numa,omitempty"`
 	NumCtx    int  `json:"num_ctx,omitempty"`
 	NumBatch  int  `json:"num_batch,omitempty"`
-	NumGQA    int  `json:"num_gqa,omitempty"`
 	NumGPU    int  `json:"num_gpu,omitempty"`
 	MainGPU   int  `json:"main_gpu,omitempty"`
 	LowVRAM   bool `json:"low_vram,omitempty"`
@@ -151,36 +172,45 @@ type Runner struct {
 	UseMMap   bool `json:"use_mmap,omitempty"`
 	UseMLock  bool `json:"use_mlock,omitempty"`
 	NumThread int  `json:"num_thread,omitempty"`
-
-	// Unused: RopeFrequencyBase is ignored. Instead the value in the model will be used
-	RopeFrequencyBase float32 `json:"rope_frequency_base,omitempty"`
-	// Unused: RopeFrequencyScale is ignored. Instead the value in the model will be used
-	RopeFrequencyScale float32 `json:"rope_frequency_scale,omitempty"`
 }
 
+// EmbeddingRequest is the request passed to [Client.Embeddings].
 type EmbeddingRequest struct {
-	Model     string    `json:"model"`
-	Prompt    string    `json:"prompt"`
+	// Model is the model name.
+	Model string `json:"model"`
+
+	// Prompt is the textual prompt to embed.
+	Prompt string `json:"prompt"`
+
+	// KeepAlive controls how long the model will stay loaded in memory following
+	// this request.
 	KeepAlive *Duration `json:"keep_alive,omitempty"`
 
+	// Options lists model-specific options.
 	Options map[string]interface{} `json:"options"`
 }
 
+// EmbeddingResponse is the response from [Client.Embeddings].
 type EmbeddingResponse struct {
 	Embedding []float64 `json:"embedding"`
 }
 
+// CreateRequest is the request passed to [Client.Create].
 type CreateRequest struct {
-	Model        string `json:"model"`
-	Path         string `json:"path"`
-	Modelfile    string `json:"modelfile"`
-	Stream       *bool  `json:"stream,omitempty"`
-	Quantization string `json:"quantization,omitempty"`
+	Model     string `json:"model"`
+	Path      string `json:"path"`
+	Modelfile string `json:"modelfile"`
+	Stream    *bool  `json:"stream,omitempty"`
+	Quantize  string `json:"quantize,omitempty"`
 
 	// Name is deprecated, see Model
 	Name string `json:"name"`
+
+	// Quantization is deprecated, see Quantize
+	Quantization string `json:"quantization,omitempty"`
 }
 
+// DeleteRequest is the request passed to [Client.Delete].
 type DeleteRequest struct {
 	Model string `json:"model"`
 
@@ -188,6 +218,7 @@ type DeleteRequest struct {
 	Name string `json:"name"`
 }
 
+// ShowRequest is the request passed to [Client.Show].
 type ShowRequest struct {
 	Model    string `json:"model"`
 	System   string `json:"system"`
@@ -199,6 +230,7 @@ type ShowRequest struct {
 	Name string `json:"name"`
 }
 
+// ShowResponse is the response returned from [Client.Show].
 type ShowResponse struct {
 	License    string       `json:"license,omitempty"`
 	Modelfile  string       `json:"modelfile,omitempty"`
@@ -209,11 +241,13 @@ type ShowResponse struct {
 	Messages   []Message    `json:"messages,omitempty"`
 }
 
+// CopyRequest is the request passed to [Client.Copy].
 type CopyRequest struct {
 	Source      string `json:"source"`
 	Destination string `json:"destination"`
 }
 
+// PullRequest is the request passed to [Client.Pull].
 type PullRequest struct {
 	Model    string `json:"model"`
 	Insecure bool   `json:"insecure,omitempty"`
@@ -225,6 +259,8 @@ type PullRequest struct {
 	Name string `json:"name"`
 }
 
+// ProgressResponse is the response passed to progress functions like
+// [PullProgressFunc] and [PushProgressFunc].
 type ProgressResponse struct {
 	Status    string `json:"status"`
 	Digest    string `json:"digest,omitempty"`
@@ -232,6 +268,7 @@ type ProgressResponse struct {
 	Completed int64  `json:"completed,omitempty"`
 }
 
+// PushRequest is the request passed to [Client.Push].
 type PushRequest struct {
 	Model    string `json:"model"`
 	Insecure bool   `json:"insecure,omitempty"`
@@ -243,10 +280,12 @@ type PushRequest struct {
 	Name string `json:"name"`
 }
 
+// ListResponse is the response from [Client.List].
 type ListResponse struct {
 	Models []ModelResponse `json:"models"`
 }
 
+// ModelResponse is a single model description in [ListResponse].
 type ModelResponse struct {
 	Name       string       `json:"name"`
 	Model      string       `json:"model"`
@@ -260,17 +299,31 @@ type TokenResponse struct {
 	Token string `json:"token"`
 }
 
+// GenerateResponse is the response passed into [GenerateResponseFunc].
 type GenerateResponse struct {
-	Model     string    `json:"model"`
-	CreatedAt time.Time `json:"created_at"`
-	Response  string    `json:"response"`
+	// Model is the model name that generated the response.
+	Model string `json:"model"`
 
-	Done    bool  `json:"done"`
+	//CreatedAt is the timestamp of the response.
+	CreatedAt time.Time `json:"created_at"`
+
+	// Response is the textual response itself.
+	Response string `json:"response"`
+
+	// Done specifies if the response is complete.
+	Done bool `json:"done"`
+
+	// DoneReason is the reason the model stopped generating text.
+	DoneReason string `json:"done_reason,omitempty"`
+
+	// Context is an encoding of the conversation used in this response; this
+	// can be sent in the next request to keep a conversational memory.
 	Context []int `json:"context,omitempty"`
 
 	Metrics
 }
 
+// ModelDetails provides details about a model.
 type ModelDetails struct {
 	ParentModel       string   `json:"parent_model"`
 	Format            string   `json:"format"`
@@ -308,7 +361,6 @@ func (m *Metrics) Summary() {
 	}
 }
 
-var ErrInvalidOpts = errors.New("invalid options")
 var ErrInvalidHostPort = errors.New("invalid port specified in OLLAMA_HOST")
 
 func (opts *Options) FromMap(m map[string]interface{}) error {
@@ -324,76 +376,76 @@ func (opts *Options) FromMap(m map[string]interface{}) error {
 		}
 	}
 
-	invalidOpts := []string{}
 	for key, val := range m {
-		if opt, ok := jsonOpts[key]; ok {
-			field := valueOpts.FieldByName(opt.Name)
-			if field.IsValid() && field.CanSet() {
-				if val == nil {
-					continue
-				}
+		opt, ok := jsonOpts[key]
+		if !ok {
+			slog.Warn("invalid option provided", "option", opt.Name)
+			continue
+		}
 
-				switch field.Kind() {
-				case reflect.Int:
-					switch t := val.(type) {
-					case int64:
-						field.SetInt(t)
-					case float64:
-						// when JSON unmarshals numbers, it uses float64, not int
-						field.SetInt(int64(t))
-					default:
-						return fmt.Errorf("option %q must be of type integer", key)
-					}
-				case reflect.Bool:
-					val, ok := val.(bool)
-					if !ok {
-						return fmt.Errorf("option %q must be of type boolean", key)
-					}
-					field.SetBool(val)
-				case reflect.Float32:
-					// JSON unmarshals to float64
-					val, ok := val.(float64)
-					if !ok {
-						return fmt.Errorf("option %q must be of type float32", key)
-					}
-					field.SetFloat(val)
-				case reflect.String:
-					val, ok := val.(string)
-					if !ok {
-						return fmt.Errorf("option %q must be of type string", key)
-					}
-					field.SetString(val)
-				case reflect.Slice:
-					// JSON unmarshals to []interface{}, not []string
-					val, ok := val.([]interface{})
-					if !ok {
-						return fmt.Errorf("option %q must be of type array", key)
-					}
-					// convert []interface{} to []string
-					slice := make([]string, len(val))
-					for i, item := range val {
-						str, ok := item.(string)
-						if !ok {
-							return fmt.Errorf("option %q must be of an array of strings", key)
-						}
-						slice[i] = str
-					}
-					field.Set(reflect.ValueOf(slice))
-				default:
-					return fmt.Errorf("unknown type loading config params: %v", field.Kind())
-				}
+		field := valueOpts.FieldByName(opt.Name)
+		if field.IsValid() && field.CanSet() {
+			if val == nil {
+				continue
+			}
+
+			switch field.Kind() {
+			case reflect.Int:
+				switch t := val.(type) {
+				case int64:
+					field.SetInt(t)
+				case float64:
+					// when JSON unmarshals numbers, it uses float64, not int
+					field.SetInt(int64(t))
+				default:
+					return fmt.Errorf("option %q must be of type integer", key)
+				}
+			case reflect.Bool:
+				val, ok := val.(bool)
+				if !ok {
+					return fmt.Errorf("option %q must be of type boolean", key)
+				}
+				field.SetBool(val)
+			case reflect.Float32:
+				// JSON unmarshals to float64
+				val, ok := val.(float64)
+				if !ok {
+					return fmt.Errorf("option %q must be of type float32", key)
+				}
+				field.SetFloat(val)
+			case reflect.String:
+				val, ok := val.(string)
+				if !ok {
+					return fmt.Errorf("option %q must be of type string", key)
+				}
+				field.SetString(val)
+			case reflect.Slice:
+				// JSON unmarshals to []interface{}, not []string
+				val, ok := val.([]interface{})
+				if !ok {
+					return fmt.Errorf("option %q must be of type array", key)
+				}
+				// convert []interface{} to []string
+				slice := make([]string, len(val))
+				for i, item := range val {
+					str, ok := item.(string)
+					if !ok {
+						return fmt.Errorf("option %q must be of an array of strings", key)
+					}
+					slice[i] = str
+				}
+				field.Set(reflect.ValueOf(slice))
+			default:
+				return fmt.Errorf("unknown type loading config params: %v", field.Kind())
 			}
-		} else {
-			invalidOpts = append(invalidOpts, key)
 		}
 	}
 
-	if len(invalidOpts) > 0 {
-		return fmt.Errorf("%w: %v", ErrInvalidOpts, strings.Join(invalidOpts, ", "))
-	}
 	return nil
 }
 
+// DefaultOptions is the default set of options for [GenerateRequest]; these
+// values are used unless the user specifies other values explicitly.
 func DefaultOptions() Options {
 	return Options{
 		// options set on request to runner
@@ -421,8 +473,7 @@ func DefaultOptions() Options {
 			NumCtx:    2048,
 			NumBatch:  512,
 			NumGPU:    -1, // -1 here indicates that NumGPU should be set dynamically
-			NumGQA:    1,
-			NumThread: 0, // let the runtime decide
+			NumThread: 0,  // let the runtime decide
 			LowVRAM:   false,
 			F16KV:     true,
 			UseMLock:  false,
@@ -436,6 +487,13 @@ type Duration struct {
 	time.Duration
 }
 
+func (d Duration) MarshalJSON() ([]byte, error) {
+	if d.Duration < 0 {
+		return []byte("-1"), nil
+	}
+	return []byte("\"" + d.Duration.String() + "\""), nil
+}
+
 func (d *Duration) UnmarshalJSON(b []byte) (err error) {
 	var v any
 	if err := json.Unmarshal(b, &v); err != nil {
@@ -449,7 +507,7 @@ func (d *Duration) UnmarshalJSON(b []byte) (err error) {
 		if t < 0 {
 			d.Duration = time.Duration(math.MaxInt64)
 		} else {
-			d.Duration = time.Duration(t * float64(time.Second))
+			d.Duration = time.Duration(int(t) * int(time.Second))
 		}
 	case string:
 		d.Duration, err = time.ParseDuration(t)
@@ -459,6 +517,8 @@ func (d *Duration) UnmarshalJSON(b []byte) (err error) {
 		if d.Duration < 0 {
 			d.Duration = time.Duration(math.MaxInt64)
 		}
+	default:
+		return fmt.Errorf("Unsupported type: '%s'", reflect.TypeOf(v))
 	}
 
 	return nil

api/types_test.go

@@ -21,6 +21,11 @@ func TestKeepAliveParsingFromJSON(t *testing.T) {
 			req:  `{ "keep_alive": 42 }`,
 			exp:  &Duration{42 * time.Second},
 		},
+		{
+			name: "Positive Float",
+			req:  `{ "keep_alive": 42.5 }`,
+			exp:  &Duration{42 * time.Second},
+		},
 		{
 			name: "Positive Integer String",
 			req:  `{ "keep_alive": "42m" }`,
@@ -31,6 +36,11 @@ func TestKeepAliveParsingFromJSON(t *testing.T) {
 			req:  `{ "keep_alive": -1 }`,
 			exp:  &Duration{math.MaxInt64},
 		},
+		{
+			name: "Negative Float",
+			req:  `{ "keep_alive": -3.14 }`,
+			exp:  &Duration{math.MaxInt64},
+		},
 		{
 			name: "Negative Integer String",
 			req:  `{ "keep_alive": "-1m" }`,
@@ -48,3 +58,50 @@ func TestKeepAliveParsingFromJSON(t *testing.T) {
 		})
 	}
 }
+
+func TestDurationMarshalUnmarshal(t *testing.T) {
+	tests := []struct {
+		name     string
+		input    time.Duration
+		expected time.Duration
+	}{
+		{
+			"negative duration",
+			time.Duration(-1),
+			time.Duration(math.MaxInt64),
+		},
+		{
+			"positive duration",
+			time.Duration(42 * time.Second),
+			time.Duration(42 * time.Second),
+		},
+		{
+			"another positive duration",
+			time.Duration(42 * time.Minute),
+			time.Duration(42 * time.Minute),
+		},
+		{
+			"zero duration",
+			time.Duration(0),
+			time.Duration(0),
+		},
+		{
+			"max duration",
+			time.Duration(math.MaxInt64),
+			time.Duration(math.MaxInt64),
+		},
+	}
+
+	for _, test := range tests {
+		t.Run(test.name, func(t *testing.T) {
+			b, err := json.Marshal(Duration{test.input})
+			require.NoError(t, err)
+
+			var d Duration
+			err = json.Unmarshal(b, &d)
+			require.NoError(t, err)
+
+			assert.Equal(t, test.expected, d.Duration, "input %v, marshalled %v, got %v", test.input, string(b), d.Duration)
+		})
+	}
+}

app/lifecycle/logging.go

@@ -5,12 +5,14 @@ import (
 	"log/slog"
 	"os"
 	"path/filepath"
+
+	"github.com/ollama/ollama/server/envconfig"
 )
 
 func InitLogging() {
 	level := slog.LevelInfo
 
-	if debug := os.Getenv("OLLAMA_DEBUG"); debug != "" {
+	if envconfig.Debug {
 		level = slog.LevelDebug
 	}
 

app/lifecycle/updater_windows.go

@@ -31,16 +31,13 @@ func DoUpgrade(cancel context.CancelFunc, done chan int) error {
 		"/LOG=" + filepath.Base(UpgradeLogFile), // Only relative seems reliable, so set pwd
 		"/FORCECLOSEAPPLICATIONS",               // Force close the tray app - might be needed
 	}
-	// When we're not in debug mode, make the upgrade as quiet as possible (no GUI, no prompts)
-	// TODO - temporarily disable since we're pinning in debug mode for the preview
-	// if debug := os.Getenv("OLLAMA_DEBUG"); debug == "" {
+	// make the upgrade as quiet as possible (no GUI, no prompts)
 	installArgs = append(installArgs,
 		"/SP", // Skip the "This will install... Do you wish to continue" prompt
 		"/SUPPRESSMSGBOXES",
 		"/SILENT",
 		"/VERYSILENT",
 	)
-	// }
 
 	// Safeguard in case we have requests in flight that need to drain...
 	slog.Info("Waiting for server to shutdown")

cmd/cmd.go

@@ -34,7 +34,6 @@ import (
 	"github.com/ollama/ollama/api"
 	"github.com/ollama/ollama/auth"
 	"github.com/ollama/ollama/format"
-	"github.com/ollama/ollama/parser"
 	"github.com/ollama/ollama/progress"
 	"github.com/ollama/ollama/server"
 	"github.com/ollama/ollama/types/errtypes"
@@ -57,13 +56,13 @@ func CreateHandler(cmd *cobra.Command, args []string) error {
 	p := progress.NewProgress(os.Stderr)
 	defer p.Stop()
 
-	modelfile, err := os.Open(filename)
+	f, err := os.Open(filename)
 	if err != nil {
 		return err
 	}
-	defer modelfile.Close()
+	defer f.Close()
 
-	commands, err := parser.Parse(modelfile)
+	modelfile, err := model.ParseFile(f)
 	if err != nil {
 		return err
 	}
@@ -77,10 +76,10 @@ func CreateHandler(cmd *cobra.Command, args []string) error {
 	spinner := progress.NewSpinner(status)
 	p.Add(status, spinner)
 
-	for i := range commands {
-		switch commands[i].Name {
+	for i := range modelfile.Commands {
+		switch modelfile.Commands[i].Name {
 		case "model", "adapter":
-			path := commands[i].Args
+			path := modelfile.Commands[i].Args
 			if path == "~" {
 				path = home
 			} else if strings.HasPrefix(path, "~/") {
@@ -92,7 +91,7 @@ func CreateHandler(cmd *cobra.Command, args []string) error {
 			}
 
 			fi, err := os.Stat(path)
-			if errors.Is(err, os.ErrNotExist) && commands[i].Name == "model" {
+			if errors.Is(err, os.ErrNotExist) && modelfile.Commands[i].Name == "model" {
 				continue
 			} else if err != nil {
 				return err
@@ -115,7 +114,7 @@ func CreateHandler(cmd *cobra.Command, args []string) error {
 				return err
 			}
 
-			commands[i].Args = "@"+digest
+			modelfile.Commands[i].Args = "@" + digest
 		}
 	}
 
@@ -143,9 +142,9 @@ func CreateHandler(cmd *cobra.Command, args []string) error {
 		return nil
 	}
 
-	quantization, _ := cmd.Flags().GetString("quantization")
+	quantize, _ := cmd.Flags().GetString("quantize")
 
-	request := api.CreateRequest{Name: args[0], Modelfile: parser.Format(commands), Quantization: quantization}
+	request := api.CreateRequest{Name: args[0], Modelfile: modelfile.String(), Quantize: quantize}
 	if err := client.Create(cmd.Context(), &request, fn); err != nil {
 		return err
 	}
@@ -899,7 +898,12 @@ func RunServer(cmd *cobra.Command, _ []string) error {
 		return err
 	}
 
-	return server.Serve(ln)
+	err = server.Serve(ln)
+	if errors.Is(err, http.ErrServerClosed) {
+		return nil
+	}
+
+	return err
 }
 
 func initializeKeypair() error {
@@ -1046,8 +1050,8 @@ func NewCLI() *cobra.Command {
 		RunE:    CreateHandler,
 	}
 
-	createCmd.Flags().StringP("file", "f", "Modelfile", "Name of the Modelfile (default \"Modelfile\")")
-	createCmd.Flags().StringP("quantization", "q", "", "Quantization level.")
+	createCmd.Flags().StringP("file", "f", "Modelfile", "Name of the Modelfile")
+	createCmd.Flags().StringP("quantize", "q", "", "Quantize model to this level (e.g. q4_0)")
 
 	showCmd := &cobra.Command{
 		Use:     "show MODEL",

cmd/interactive.go

@@ -162,7 +162,7 @@ func generateInteractive(cmd *cobra.Command, opts runOptions) error {
 		fmt.Fprintln(os.Stderr, "  /set parameter repeat_penalty <float> How strongly to penalize repetitions")
 		fmt.Fprintln(os.Stderr, "  /set parameter repeat_last_n <int>    Set how far back to look for repetitions")
 		fmt.Fprintln(os.Stderr, "  /set parameter num_gpu <int>          The number of layers to send to the GPU")
-		fmt.Fprintln(os.Stderr, "  /set parameter stop \"<string>\", ...   Set the stop parameters")
+		fmt.Fprintln(os.Stderr, "  /set parameter stop <string> <string> ...   Set the stop parameters")
 		fmt.Fprintln(os.Stderr, "")
 	}
 

convert/convert.go

@@ -5,6 +5,7 @@ import (
 	"encoding/binary"
 	"encoding/json"
 	"fmt"
+	"io"
 	"log/slog"
 	"os"
 	"path/filepath"
@@ -47,7 +48,7 @@ type ByteOrder interface {
 type ModelArch interface {
 	GetTensors() error
 	LoadVocab() error
-	WriteGGUF() (string, error)
+	WriteGGUF(io.WriteSeeker) error
 }
 
 type ModelFormat interface {

convert/gemma.go

@@ -94,7 +94,7 @@ func (m *GemmaModel) LoadVocab() error {
 	return nil
 }
 
-func (m *GemmaModel) WriteGGUF() (string, error) {
+func (m *GemmaModel) WriteGGUF(ws io.WriteSeeker) error {
 	kv := llm.KV{
 		"general.architecture":                   "gemma",
 		"general.name":                           m.Name,
@@ -122,16 +122,5 @@ func (m *GemmaModel) WriteGGUF() (string, error) {
 		"tokenizer.ggml.add_eos_token":    false,
 	}
 
-	f, err := os.CreateTemp("", "ollama-gguf")
-	if err != nil {
-		return "", err
-	}
-	defer f.Close()
-
-	mod := llm.NewGGUFV3(m.Params.ByteOrder)
-	if err := mod.Encode(f, kv, m.Tensors); err != nil {
-		return "", err
-	}
-
-	return f.Name(), nil
+	return llm.NewGGUFV3(m.Params.ByteOrder).Encode(ws, kv, m.Tensors)
 }

convert/llama.go

@@ -5,7 +5,6 @@ import (
 	"fmt"
 	"io"
 	"log/slog"
-	"os"
 	"regexp"
 	"strings"
 
@@ -132,7 +131,7 @@ func (m *LlamaModel) LoadVocab() error {
 	return nil
 }
 
-func (m *LlamaModel) WriteGGUF() (string, error) {
+func (m *LlamaModel) WriteGGUF(ws io.WriteSeeker) error {
 	kv := llm.KV{
 		"general.architecture":                   "llama",
 		"general.name":                           m.Name,
@@ -159,18 +158,5 @@ func (m *LlamaModel) WriteGGUF() (string, error) {
 		"tokenizer.ggml.add_eos_token":    false,
 	}
 
-	f, err := os.CreateTemp("", "ollama-gguf")
-	if err != nil {
-		return "", err
-	}
-	defer f.Close()
-
-	mod := llm.NewGGUFV3(m.Params.ByteOrder)
-	if err := mod.Encode(f, kv, m.Tensors); err != nil {
-		return "", err
-	}
-
-	slog.Debug(fmt.Sprintf("gguf file = %s", f.Name()))
-
-	return f.Name(), nil
+	return llm.NewGGUFV3(m.Params.ByteOrder).Encode(ws, kv, m.Tensors)
 }

convert/mistral.go

@@ -132,7 +132,7 @@ func (m *MistralModel) LoadVocab() error {
 	return nil
 }
 
-func (m *MistralModel) WriteGGUF() (string, error) {
+func (m *MistralModel) WriteGGUF(ws io.WriteSeeker) error {
 	kv := llm.KV{
 		"general.architecture":                   "llama",
 		"general.name":                           m.Name,
@@ -158,16 +158,5 @@ func (m *MistralModel) WriteGGUF() (string, error) {
 		"tokenizer.ggml.unknown_token_id": uint32(0),
 	}
 
-	f, err := os.CreateTemp("", "ollama-gguf")
-	if err != nil {
-		return "", err
-	}
-	defer f.Close()
-
-	mod := llm.NewGGUFV3(m.Params.ByteOrder)
-	if err := mod.Encode(f, kv, m.Tensors); err != nil {
-		return "", err
-	}
-
-	return f.Name(), nil
+	return llm.NewGGUFV3(m.Params.ByteOrder).Encode(ws, kv, m.Tensors)
 }

convert/mixtral.go

@@ -1,7 +1,7 @@
 package convert
 
 import (
-	"os"
+	"io"
 	"regexp"
 
 	"github.com/ollama/ollama/llm"
@@ -47,7 +47,7 @@ func (m *MixtralModel) LoadVocab() error {
 	return nil
 }
 
-func (m *MixtralModel) WriteGGUF() (string, error) {
+func (m *MixtralModel) WriteGGUF(ws io.WriteSeeker) error {
 	kv := llm.KV{
 		"general.architecture":          "llama",
 		"general.name":                  m.Name,
@@ -81,16 +81,5 @@ func (m *MixtralModel) WriteGGUF() (string, error) {
 		"tokenizer.ggml.add_eos_token":    false,
 	}
 
-	f, err := os.CreateTemp("", "ollama-gguf")
-	if err != nil {
-		return "", err
-	}
-	defer f.Close()
-
-	mod := llm.NewGGUFV3(m.Params.ByteOrder)
-	if err := mod.Encode(f, kv, m.Tensors); err != nil {
-		return "", err
-	}
-
-	return f.Name(), nil
+	return llm.NewGGUFV3(m.Params.ByteOrder).Encode(ws, kv, m.Tensors)
 }

convert/safetensors.go

@@ -53,7 +53,7 @@ func (m *SafetensorFormat) GetTensors(dirpath string, params *Params) ([]llm.Ten
 		var err error
 		t, offset, err = m.readTensors(f, offset, params)
 		if err != nil {
-			slog.Error("%v", err)
+			slog.Error(err.Error())
 			return nil, err
 		}
 		tensors = append(tensors, t...)
@@ -122,7 +122,7 @@ func (m *SafetensorFormat) readTensors(fn string, offset uint64, params *Params)
 
 		ggufName, err := m.GetLayerName(k)
 		if err != nil {
-			slog.Error("%v", err)
+			slog.Error(err.Error())
 			return nil, 0, err
 		}
 

convert/torch.go

@@ -74,7 +74,7 @@ func (tf *TorchFormat) GetTensors(dirpath string, params *Params) ([]llm.Tensor,
 
 			ggufName, err := tf.GetLayerName(k.(string))
 			if err != nil {
-				slog.Error("%v", err)
+				slog.Error(err.Error())
 				return nil, err
 			}
 			slog.Debug(fmt.Sprintf("finding name for '%s' -> '%s'", k.(string), ggufName))

docs/README.md

@@ -6,7 +6,7 @@
 * [Importing models](./import.md)
 * [Linux Documentation](./linux.md)
 * [Windows Documentation](./windows.md)
-* [Docker Documentation](https://hub.docker.com/r/ollama/ollama)
+* [Docker Documentation](./docker.md)
 
 ### Reference
 

docs/api.md

@@ -17,7 +17,7 @@
 
 ### Model names
 
-Model names follow a `model:tag` format, where `model` can have an optional namespace such as `example/model`. Some examples are `orca-mini:3b-q4_1` and `llama2:70b`. The tag is optional and, if not provided, will default to `latest`. The tag is used to identify a specific version.
+Model names follow a `model:tag` format, where `model` can have an optional namespace such as `example/model`. Some examples are `orca-mini:3b-q4_1` and `llama3:70b`. The tag is optional and, if not provided, will default to `latest`. The tag is used to identify a specific version.
 
 ### Durations
 
@@ -66,7 +66,7 @@ Enable JSON mode by setting the `format` parameter to `json`. This will structur
 
 ```shell
 curl http://localhost:11434/api/generate -d '{
-  "model": "llama2",
+  "model": "llama3",
   "prompt": "Why is the sky blue?"
 }'
 ```
@@ -77,7 +77,7 @@ A stream of JSON objects is returned:
 
 ```json
 {
-  "model": "llama2",
+  "model": "llama3",
   "created_at": "2023-08-04T08:52:19.385406455-07:00",
   "response": "The",
   "done": false
@@ -95,11 +95,11 @@ The final response in the stream also includes additional data about the generat
 - `context`: an encoding of the conversation used in this response, this can be sent in the next request to keep a conversational memory
 - `response`: empty if the response was streamed, if not streamed, this will contain the full response
 
-To calculate how fast the response is generated in tokens per second (token/s), divide `eval_count` / `eval_duration`.
+To calculate how fast the response is generated in tokens per second (token/s), divide `eval_count` / `eval_duration` * `10^9`.
 
 ```json
 {
-  "model": "llama2",
+  "model": "llama3",
   "created_at": "2023-08-04T19:22:45.499127Z",
   "response": "",
   "done": true,
@@ -121,7 +121,7 @@ A response can be received in one reply when streaming is off.
 
 ```shell
 curl http://localhost:11434/api/generate -d '{
-  "model": "llama2",
+  "model": "llama3",
   "prompt": "Why is the sky blue?",
   "stream": false
 }'
@@ -133,7 +133,7 @@ If `stream` is set to `false`, the response will be a single JSON object:
 
 ```json
 {
-  "model": "llama2",
+  "model": "llama3",
   "created_at": "2023-08-04T19:22:45.499127Z",
   "response": "The sky is blue because it is the color of the sky.",
   "done": true,
@@ -155,7 +155,7 @@ If `stream` is set to `false`, the response will be a single JSON object:
 
 ```shell
 curl http://localhost:11434/api/generate -d '{
-  "model": "llama2",
+  "model": "llama3",
   "prompt": "What color is the sky at different times of the day? Respond using JSON",
   "format": "json",
   "stream": false
@@ -166,7 +166,7 @@ curl http://localhost:11434/api/generate -d '{
 
 ```json
 {
-  "model": "llama2",
+  "model": "llama3",
   "created_at": "2023-11-09T21:07:55.186497Z",
   "response": "{\n\"morning\": {\n\"color\": \"blue\"\n},\n\"noon\": {\n\"color\": \"blue-gray\"\n},\n\"afternoon\": {\n\"color\": \"warm gray\"\n},\n\"evening\": {\n\"color\": \"orange\"\n}\n}\n",
   "done": true,
@@ -289,7 +289,7 @@ If you want to set custom options for the model at runtime rather than in the Mo
 
 ```shell
 curl http://localhost:11434/api/generate -d '{
-  "model": "llama2",
+  "model": "llama3",
   "prompt": "Why is the sky blue?",
   "stream": false,
   "options": {
@@ -313,7 +313,6 @@ curl http://localhost:11434/api/generate -d '{
     "numa": false,
     "num_ctx": 1024,
     "num_batch": 2,
-    "num_gqa": 1,
     "num_gpu": 1,
     "main_gpu": 0,
     "low_vram": false,
@@ -321,8 +320,6 @@ curl http://localhost:11434/api/generate -d '{
     "vocab_only": false,
     "use_mmap": true,
     "use_mlock": false,
-    "rope_frequency_base": 1.1,
-    "rope_frequency_scale": 0.8,
     "num_thread": 8
   }
 }'
@@ -332,7 +329,7 @@ curl http://localhost:11434/api/generate -d '{
 
 ```json
 {
-  "model": "llama2",
+  "model": "llama3",
   "created_at": "2023-08-04T19:22:45.499127Z",
   "response": "The sky is blue because it is the color of the sky.",
   "done": true,
@@ -354,7 +351,7 @@ If an empty prompt is provided, the model will be loaded into memory.
 
 ```shell
 curl http://localhost:11434/api/generate -d '{
-  "model": "llama2"
+  "model": "llama3"
 }'
 ```
 
@@ -364,7 +361,7 @@ A single JSON object is returned:
 
 ```json
 {
-  "model": "llama2",
+  "model": "llama3",
   "created_at": "2023-12-18T19:52:07.071755Z",
   "response": "",
   "done": true
@@ -407,7 +404,7 @@ Send a chat message with a streaming response.
 
 ```shell
 curl http://localhost:11434/api/chat -d '{
-  "model": "llama2",
+  "model": "llama3",
   "messages": [
     {
       "role": "user",
@@ -423,7 +420,7 @@ A stream of JSON objects is returned:
 
 ```json
 {
-  "model": "llama2",
+  "model": "llama3",
   "created_at": "2023-08-04T08:52:19.385406455-07:00",
   "message": {
     "role": "assistant",
@@ -438,7 +435,7 @@ Final response:
 
 ```json
 {
-  "model": "llama2",
+  "model": "llama3",
   "created_at": "2023-08-04T19:22:45.499127Z",
   "done": true,
   "total_duration": 4883583458,
@@ -456,7 +453,7 @@ Final response:
 
 ```shell
 curl http://localhost:11434/api/chat -d '{
-  "model": "llama2",
+  "model": "llama3",
   "messages": [
     {
       "role": "user",
@@ -471,7 +468,7 @@ curl http://localhost:11434/api/chat -d '{
 
 ```json
 {
-  "model": "registry.ollama.ai/library/llama2:latest",
+  "model": "registry.ollama.ai/library/llama3:latest",
   "created_at": "2023-12-12T14:13:43.416799Z",
   "message": {
     "role": "assistant",
@@ -495,7 +492,7 @@ Send a chat message with a conversation history. You can use this same approach
 
 ```shell
 curl http://localhost:11434/api/chat -d '{
-  "model": "llama2",
+  "model": "llama3",
   "messages": [
     {
       "role": "user",
@@ -519,7 +516,7 @@ A stream of JSON objects is returned:
 
 ```json
 {
-  "model": "llama2",
+  "model": "llama3",
   "created_at": "2023-08-04T08:52:19.385406455-07:00",
   "message": {
     "role": "assistant",
@@ -533,7 +530,7 @@ Final response:
 
 ```json
 {
-  "model": "llama2",
+  "model": "llama3",
   "created_at": "2023-08-04T19:22:45.499127Z",
   "done": true,
   "total_duration": 8113331500,
@@ -591,7 +588,7 @@ curl http://localhost:11434/api/chat -d '{
 
 ```shell
 curl http://localhost:11434/api/chat -d '{
-  "model": "llama2",
+  "model": "llama3",
   "messages": [
     {
       "role": "user",
@@ -609,7 +606,7 @@ curl http://localhost:11434/api/chat -d '{
 
 ```json
 {
-  "model": "registry.ollama.ai/library/llama2:latest",
+  "model": "registry.ollama.ai/library/llama3:latest",
   "created_at": "2023-12-12T14:13:43.416799Z",
   "message": {
     "role": "assistant",
@@ -651,7 +648,7 @@ Create a new model from a `Modelfile`.
 ```shell
 curl http://localhost:11434/api/create -d '{
   "name": "mario",
-  "modelfile": "FROM llama2\nSYSTEM You are mario from Super Mario Bros."
+  "modelfile": "FROM llama3\nSYSTEM You are mario from Super Mario Bros."
 }'
 ```
 
@@ -758,7 +755,7 @@ A single JSON object will be returned.
       }
     },
     {
-      "name": "llama2:latest",
+      "name": "llama3:latest",
       "modified_at": "2023-12-07T09:32:18.757212583-08:00",
       "size": 3825819519,
       "digest": "fe938a131f40e6f6d40083c9f0f430a515233eb2edaa6d72eb85c50d64f2300e",
@@ -792,7 +789,7 @@ Show information about a model including details, modelfile, template, parameter
 
 ```shell
 curl http://localhost:11434/api/show -d '{
-  "name": "llama2"
+  "name": "llama3"
 }'
 ```
 
@@ -827,8 +824,8 @@ Copy a model. Creates a model with another name from an existing model.
 
 ```shell
 curl http://localhost:11434/api/copy -d '{
-  "source": "llama2",
-  "destination": "llama2-backup"
+  "source": "llama3",
+  "destination": "llama3-backup"
 }'
 ```
 
@@ -854,7 +851,7 @@ Delete a model and its data.
 
 ```shell
 curl -X DELETE http://localhost:11434/api/delete -d '{
-  "name": "llama2:13b"
+  "name": "llama3:13b"
 }'
 ```
 
@@ -882,7 +879,7 @@ Download a model from the ollama library. Cancelled pulls are resumed from where
 
 ```shell
 curl http://localhost:11434/api/pull -d '{
-  "name": "llama2"
+  "name": "llama3"
 }'
 ```
 

docs/docker.md

@@ -0,0 +1,71 @@
+# Ollama Docker image
+
+### CPU only
+
+```bash
+docker run -d -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama
+```
+
+### Nvidia GPU
+Install the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html#installation).
+
+#### Install with Apt
+1.  Configure the repository
+```bash
+curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey \
+    | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg
+curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list \
+    | sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' \
+    | sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
+sudo apt-get update
+```
+2.  Install the NVIDIA Container Toolkit packages
+```bash
+sudo apt-get install -y nvidia-container-toolkit
+```
+
+#### Install with Yum or Dnf
+1.  Configure the repository
+    
+```bash
+curl -s -L https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo \
+    | sudo tee /etc/yum.repos.d/nvidia-container-toolkit.repo
+```
+    
+2. Install the NVIDIA Container Toolkit packages
+    
+```bash
+sudo yum install -y nvidia-container-toolkit
+```
+
+#### Configure Docker to use Nvidia driver 
+```
+sudo nvidia-ctk runtime configure --runtime=docker
+sudo systemctl restart docker
+```
+
+#### Start the container
+
+```bash
+docker run -d --gpus=all -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama
+```
+
+### AMD GPU
+
+To run Ollama using Docker with AMD GPUs, use the `rocm` tag and the following command:
+
+```
+docker run -d --device /dev/kfd --device /dev/dri -v ollama:/root/.ollama -p 11434:11434 --name ollama ollama/ollama:rocm
+```
+
+### Run model locally
+
+Now you can run a model:
+
+```
+docker exec -it ollama ollama run llama3
+```
+
+### Try different models
+
+More models can be found on the [Ollama library](https://ollama.com/library).

docs/faq.md

@@ -32,7 +32,7 @@ When using the API, specify the `num_ctx` parameter:
 
 ```
 curl http://localhost:11434/api/generate -d '{
-  "model": "llama2",
+  "model": "llama3",
   "prompt": "Why is the sky blue?",
   "options": {
     "num_ctx": 4096
@@ -140,7 +140,7 @@ Refer to the section [above](#how-do-i-configure-ollama-server) for how to set e
 
 - macOS: `~/.ollama/models`
 - Linux: `/usr/share/ollama/.ollama/models`
-- Windows: `C:\Users\<username>\.ollama\models`
+- Windows: `C:\Users\%username%\.ollama\models`
 
 ### How do I set them to a different location?
 
@@ -221,14 +221,20 @@ The `keep_alive` parameter can be set to:
 
 For example, to preload a model and leave it in memory use:
 ```shell
-curl http://localhost:11434/api/generate -d '{"model": "llama2", "keep_alive": -1}'
+curl http://localhost:11434/api/generate -d '{"model": "llama3", "keep_alive": -1}'
 ```
 
 To unload the model and free up memory use:
 ```shell
-curl http://localhost:11434/api/generate -d '{"model": "llama2", "keep_alive": 0}'
+curl http://localhost:11434/api/generate -d '{"model": "llama3", "keep_alive": 0}'
 ```
 
 Alternatively, you can change the amount of time all models are loaded into memory by setting the `OLLAMA_KEEP_ALIVE` environment variable when starting the Ollama server. The `OLLAMA_KEEP_ALIVE` variable uses the same parameter types as the `keep_alive` parameter types mentioned above. Refer to section explaining [how to configure the Ollama server](#how-do-i-configure-ollama-server) to correctly set the environment variable.
 
 If you wish to override the `OLLAMA_KEEP_ALIVE` setting, use the `keep_alive` API parameter with the `/api/generate` or `/api/chat` API endpoints.
+
+## How do I manage the maximum number of requests the server can queue
+
+If too many requests are sent to the server, it will respond with a 503 error
+indicating the server is overloaded.  You can adjust how many requests may be
+queue by setting `OLLAMA_MAX_QUEUE`

docs/import.md

@@ -125,7 +125,7 @@ Publishing models is in early alpha. If you'd like to publish your model to shar
 
 1. Create [an account](https://ollama.com/signup)
 2. Copy your Ollama public key:
-  - macOS: `cat ~/.ollama/id_ed25519.pub`
+  - macOS: `cat ~/.ollama/id_ed25519.pub | pbcopy`
   - Windows: `type %USERPROFILE%\.ollama\id_ed25519.pub`
   - Linux: `cat /usr/share/ollama/.ollama/id_ed25519.pub`
 3. Add your public key to your [Ollama account](https://ollama.com/settings/keys)
@@ -136,6 +136,8 @@ Next, copy your model to your username's namespace:
 ollama cp example <your username>/example
 ```
 
+> Note: model names may only contain lowercase letters, digits, and the characters `.`, `-`, and `_`.
+
 Then push the model:
 
 ```

docs/linux.md

@@ -105,7 +105,7 @@ sudo chmod +x /usr/bin/ollama
 To view logs of Ollama running as a startup service, run:
 
 ```bash
-journalctl -u ollama
+journalctl -e -u ollama
 ```
 
 ## Uninstall

docs/modelfile.md

@@ -10,7 +10,7 @@ A model file is the blueprint to create and share models with Ollama.
 - [Examples](#examples)
 - [Instructions](#instructions)
   - [FROM (Required)](#from-required)
-    - [Build from llama2](#build-from-llama2)
+    - [Build from llama3](#build-from-llama3)
     - [Build from a bin file](#build-from-a-bin-file)
   - [PARAMETER](#parameter)
     - [Valid Parameters and Values](#valid-parameters-and-values)
@@ -48,7 +48,7 @@ INSTRUCTION arguments
 An example of a `Modelfile` creating a mario blueprint:
 
 ```modelfile
-FROM llama2
+FROM llama3
 # sets the temperature to 1 [higher is more creative, lower is more coherent]
 PARAMETER temperature 1
 # sets the context window size to 4096, this controls how many tokens the LLM can use as context to generate the next token
@@ -67,33 +67,25 @@ To use this:
 
 More examples are available in the [examples directory](../examples).
 
-### `Modelfile`s in [ollama.com/library][1]
-
-There are two ways to view `Modelfile`s underlying the models in [ollama.com/library][1]:
-
-- Option 1: view a details page from a model's tags page:
-  1.  Go to a particular model's tags (e.g. https://ollama.com/library/llama2/tags)
-  2.  Click on a tag (e.g. https://ollama.com/library/llama2:13b)
-  3.  Scroll down to "Layers"
-      - Note: if the [`FROM` instruction](#from-required) is not present,
-        it means the model was created from a local file
-- Option 2: use `ollama show` to print the `Modelfile` for any local models like so:
+To view the Modelfile of a given model, use the `ollama show --modelfile` command.
 
   ```bash
-  > ollama show --modelfile llama2:13b
+  > ollama show --modelfile llama3
   # Modelfile generated by "ollama show"
   # To build a new Modelfile based on this one, replace the FROM line with:
-  # FROM llama2:13b
+  # FROM llama3:latest
+  FROM /Users/pdevine/.ollama/models/blobs/sha256-00e1317cbf74d901080d7100f57580ba8dd8de57203072dc6f668324ba545f29
+  TEMPLATE """{{ if .System }}<|start_header_id|>system<|end_header_id|>
 
-  FROM /root/.ollama/models/blobs/sha256:123abc
-  TEMPLATE """[INST] {{ if .System }}<<SYS>>{{ .System }}<</SYS>>
+  {{ .System }}<|eot_id|>{{ end }}{{ if .Prompt }}<|start_header_id|>user<|end_header_id|>
 
-  {{ end }}{{ .Prompt }} [/INST] """
-  SYSTEM """"""
-  PARAMETER stop [INST]
-  PARAMETER stop [/INST]
-  PARAMETER stop <<SYS>>
-  PARAMETER stop <</SYS>>
+  {{ .Prompt }}<|eot_id|>{{ end }}<|start_header_id|>assistant<|end_header_id|>
+
+  {{ .Response }}<|eot_id|>"""
+  PARAMETER stop "<|start_header_id|>"
+  PARAMETER stop "<|end_header_id|>"
+  PARAMETER stop "<|eot_id|>"
+  PARAMETER stop "<|reserved_special_token"
   ```
 
 ## Instructions
@@ -106,10 +98,10 @@ The `FROM` instruction defines the base model to use when creating a model.
 FROM <model name>:<tag>
 ```
 
-#### Build from llama2
+#### Build from llama3
 
 ```modelfile
-FROM llama2
+FROM llama3
 ```
 
 A list of available base models:

docs/openai.md

@@ -25,7 +25,7 @@ chat_completion = client.chat.completions.create(
             'content': 'Say this is a test',
         }
     ],
-    model='llama2',
+    model='llama3',
 )
 ```
 
@@ -43,7 +43,7 @@ const openai = new OpenAI({
 
 const chatCompletion = await openai.chat.completions.create({
   messages: [{ role: 'user', content: 'Say this is a test' }],
-  model: 'llama2',
+  model: 'llama3',
 })
 ```
 
@@ -53,7 +53,7 @@ const chatCompletion = await openai.chat.completions.create({
 curl http://localhost:11434/v1/chat/completions \
     -H "Content-Type: application/json" \
     -d '{
-        "model": "llama2",
+        "model": "llama3",
         "messages": [
             {
                 "role": "system",
@@ -113,7 +113,7 @@ curl http://localhost:11434/v1/chat/completions \
 Before using a model, pull it locally `ollama pull`:
 
 ```shell
-ollama pull llama2
+ollama pull llama3
 ```
 
 ### Default model names
@@ -121,7 +121,7 @@ ollama pull llama2
 For tooling that relies on default OpenAI model names such as `gpt-3.5-turbo`, use `ollama cp` to copy an existing model name to a temporary name:
 
 ```
-ollama cp llama2 gpt-3.5-turbo
+ollama cp llama3 gpt-3.5-turbo
 ```
 
 Afterwards, this new model name can be specified the `model` field:

docs/troubleshooting.md

@@ -83,3 +83,22 @@ If your system is configured with the "noexec" flag where Ollama stores its
 temporary executable files, you can specify an alternate location by setting
 OLLAMA_TMPDIR to a location writable by the user ollama runs as.  For example
 OLLAMA_TMPDIR=/usr/share/ollama/
+
+## Container fails to run on NVIDIA GPU
+
+Make sure you've set up the conatiner runtime first as described in [docker.md](./docker.md)
+
+Sometimes the container runtime can have difficulties initializing the GPU.
+When you check the server logs, this can show up as various error codes, such
+as "3" (not initialized), "46" (device unavailable), "100" (no device), "999"
+(unknown), or others.  The following troubleshooting techniques may help resolve
+the problem
+
+- Is the uvm driver not loaded? `sudo nvidia-modprobe -u`
+- Try reloading the nvidia_uvm driver - `sudo rmmod nvidia_uvm` then `sudo modprobe nvidia_uvm`
+- Try rebooting
+- Make sure you're running the latest nvidia drivers
+
+If none of those resolve the problem, gather additional information and file an issue:
+- Set `CUDA_ERROR_LEVEL=50` and try again to get more diagnostic logs
+- Check dmesg for any errors `sudo dmesg | grep -i nvrm` and `sudo dmesg | grep -i nvidia`

docs/tutorials/langchainjs.md

@@ -5,17 +5,17 @@ In this tutorial, we are going to use JavaScript with LangChain and Ollama to le
 To get started, let's just use **LangChain** to ask a simple question to a model. To do this with JavaScript, we need to install **LangChain**:
 
 ```bash
-npm install langchain
+npm install @langchain/community
 ```
 
 Now we can start building out our JavaScript:
 
 ```javascript
-import { Ollama } from "langchain/llms/ollama";
+import { Ollama } from "@langchain/community/llms/ollama";
 
 const ollama = new Ollama({
   baseUrl: "http://localhost:11434",
-  model: "llama2",
+  model: "llama3",
 });
 
 const answer = await ollama.invoke(`why is the sky blue?`);
@@ -23,7 +23,7 @@ const answer = await ollama.invoke(`why is the sky blue?`);
 console.log(answer);
 ```
 
-That will get us the same thing as if we ran `ollama run llama2 "why is the sky blue"` in the terminal. But we want to load a document from the web to ask a question against. **Cheerio** is a great library for ingesting a webpage, and **LangChain** uses it in their **CheerioWebBaseLoader**. So let's install **Cheerio** and build that part of the app.
+That will get us the same thing as if we ran `ollama run llama3 "why is the sky blue"` in the terminal. But we want to load a document from the web to ask a question against. **Cheerio** is a great library for ingesting a webpage, and **LangChain** uses it in their **CheerioWebBaseLoader**. So let's install **Cheerio** and build that part of the app.
 
 ```bash
 npm install cheerio

docs/tutorials/langchainpy.md

@@ -12,7 +12,7 @@ So let's figure out how we can use **LangChain** with Ollama to ask our question
 
 Let's start by asking a simple question that we can get an answer to from the **Llama2** model using **Ollama**. First, we need to install the **LangChain** package:
 
-`pip install langchain`
+`pip install langchain_community`
 
 Then we can create a model and ask the question:
 

docs/windows.md

@@ -27,7 +27,7 @@ Logs will often be helpful in diagnosing the problem (see
 
 Here's a quick example showing API access from `powershell`
 ```powershell
-(Invoke-WebRequest -method POST -Body '{"model":"llama2", "prompt":"Why is the sky blue?", "stream": false}' -uri http://localhost:11434/api/generate ).Content | ConvertFrom-json
+(Invoke-WebRequest -method POST -Body '{"model":"llama3", "prompt":"Why is the sky blue?", "stream": false}' -uri http://localhost:11434/api/generate ).Content | ConvertFrom-json
 ```
 
 ## Troubleshooting
@@ -45,3 +45,17 @@ the explorer window by hitting `<cmd>+R` and type in:
 - `explorer %LOCALAPPDATA%\Programs\Ollama` contains the binaries (The installer adds this to your user PATH)
 - `explorer %HOMEPATH%\.ollama` contains models and configuration
 - `explorer %TEMP%` contains temporary executable files in one or more `ollama*` directories
+
+
+## Standalone CLI
+
+The easiest way to install Ollama on Windows is to use the `OllamaSetup.exe`
+installer. It installs in your account without requiring Administrator rights.
+We update Ollama regularly to support the latest models, and this installer will
+help you keep up to date.
+
+If you'd like to install or integrate Ollama as a service, a standalone
+`ollama-windows-amd64.zip` zip file is available containing only the Ollama CLI
+and GPU library dependencies for Nvidia and AMD. This allows for embedding
+Ollama in existing applications, or running it as a system service via `ollama
+serve` with tools such as [NSSM](https://nssm.cc/).

examples/bash-comparemodels/README.md

@@ -1,10 +0,0 @@
-# Bash Shell examples
-
-When calling `ollama`, you can pass it a file to run all the prompts in the file, one after the other:
-
-`ollama run llama2 < sourcequestions.txt`
-
-This concept is used in the following example.
-
-## Compare Models
-`comparemodels.sh` is a script that runs all the questions in `sourcequestions.txt` using any 4 models you choose that you have already pulled from the Ollama library or have created locally.

examples/bash-comparemodels/comparemodels.sh

@@ -1,64 +0,0 @@
-#! /usr/bin/env bash
-# Compare multiple models by running them with the same questions
-
-NUMBEROFCHOICES=4
-SELECTIONS=()
-declare -a SUMS=()
-
-# Get the list of models
-CHOICES=$(ollama list | awk '{print $1}')
-
-# Select which models to run as a comparison
-echo "Select $NUMBEROFCHOICES models to compare:"
-select ITEM in $CHOICES; do
-    if [[ -n $ITEM ]]; then
-        echo "You have selected $ITEM"
-        SELECTIONS+=("$ITEM")
-        ((COUNT++))
-        if [[ $COUNT -eq $NUMBEROFCHOICES ]]; then
-            break
-        fi
-    else
-        echo "Invalid selection"
-    fi
-done
-
-# Loop through each of the selected models
-for ITEM in "${SELECTIONS[@]}"; do
-    echo "--------------------------------------------------------------"
-    echo "Loading the model $ITEM into memory"
-    ollama run "$ITEM" ""
-    echo "--------------------------------------------------------------"
-    echo "Running the questions through the model $ITEM"
-    COMMAND_OUTPUT=$(ollama run "$ITEM" --verbose < sourcequestions.txt 2>&1| tee /dev/stderr)
-
-    # eval duration is sometimes listed in seconds and sometimes in milliseconds. 
-    # Add up the values for each model
-    SUM=$(echo "$COMMAND_OUTPUT" | awk '
-    /eval duration:/ {
-        value = $3
-        if (index(value, "ms") > 0) {
-            gsub("ms", "", value)
-            value /= 1000
-        } else {
-            gsub("s", "", value)
-        }
-        sum += value
-    }
-    END { print sum }')
-
-
-    SUMS+=("All questions for $ITEM completed in $SUM seconds")
-done
-
-echo ""
-echo "--------------------------------------------------------------"
-echo -e "Sums of eval durations for each run:"
-for val in "${SUMS[@]}"; do
-    echo "$val"
-done
-
-echo "--------------------------------------------------------------"
-echo "Comparison complete. Now you can decide"
-echo "which model is best."
-echo "--------------------------------------------------------------"

examples/bash-comparemodels/sourcequestions.txt

@@ -1,7 +0,0 @@
-Why is the sky blue
-What is a black hole
-Explain the big bang theory like I am 5?
-What is the quickest way to win a game of Monopoly with 3 others?
-Why does a vacuum bottle keep my coffee hot and my milkshake cold?
-What is the difference between a meteor, a meteorite, and a meteoroid?
-Create an array with 5 items and print to the console. Do this in Python, C#, Typescript, and Rust.

examples/flyio/.gitignore

@@ -0,0 +1 @@
+fly.toml

examples/flyio/README.md

@@ -0,0 +1,67 @@
+# Deploy Ollama to Fly.io
+
+> Note: this example exposes a public endpoint and does not configure authentication. Use with care.
+
+## Prerequisites
+
+- Ollama: https://ollama.com/download
+- Fly.io account. Sign up for a free account: https://fly.io/app/sign-up
+
+## Steps
+
+1. Login to Fly.io
+
+    ```bash
+    fly auth login
+    ```
+
+1. Create a new Fly app
+
+    ```bash
+    fly launch --name <name> --image ollama/ollama --internal-port 11434 --vm-size shared-cpu-8x --now
+    ```
+
+1. Pull and run `orca-mini:3b`
+
+    ```bash
+    OLLAMA_HOST=https://<name>.fly.dev ollama run orca-mini:3b
+    ```
+
+`shared-cpu-8x` is a free-tier eligible machine type. For better performance, switch to a `performance` or `dedicated` machine type or attach a GPU for hardware acceleration (see below).
+
+## (Optional) Persistent Volume
+
+By default Fly Machines use ephemeral storage which is problematic if you want to use the same model across restarts without pulling it again. Create and attach a persistent volume to store the downloaded models:
+
+1. Create the Fly Volume
+
+    ```bash
+    fly volume create ollama
+    ```
+
+1. Update `fly.toml` and add `[mounts]`
+
+    ```toml
+    [mounts]
+      source = "ollama"
+      destination = "/mnt/ollama/models"
+    ```
+
+1. Update `fly.toml` and add `[env]`
+
+    ```toml
+    [env]
+      OLLAMA_MODELS = "/mnt/ollama/models"
+    ```
+
+1. Deploy your app
+
+    ```bash
+    fly deploy
+    ```
+
+## (Optional) Hardware Acceleration
+
+Fly.io GPU is currently in waitlist. Sign up for the waitlist: https://fly.io/gpu
+
+Once you've been accepted, create the app with the additional flags `--vm-gpu-kind a100-pcie-40gb` or `--vm-gpu-kind a100-pcie-80gb`.

examples/go-chat/main.go

@@ -35,7 +35,7 @@ func main() {
 
 	ctx := context.Background()
 	req := &api.ChatRequest{
-		Model:    "llama2",
+		Model:    "llama3",
 		Messages: messages,
 	}
 

examples/kubernetes/README.md

@@ -7,12 +7,24 @@
 
 ## Steps
 
-1. Create the Ollama namespace, daemon set, and service
+1. Create the Ollama namespace, deployment, and service
 
    ```bash
    kubectl apply -f cpu.yaml
    ```
 
+## (Optional) Hardware Acceleration
+
+Hardware acceleration in Kubernetes requires NVIDIA's [`k8s-device-plugin`](https://github.com/NVIDIA/k8s-device-plugin) which is deployed in Kubernetes in form of daemonset. Follow the link for more details.
+
+Once configured, create a GPU enabled Ollama deployment.
+
+```bash
+kubectl apply -f gpu.yaml
+```
+
+## Test
+
 1. Port forward the Ollama service to connect and use it locally
 
    ```bash
@@ -24,13 +36,3 @@
    ```bash
    ollama run orca-mini:3b
    ```
-
-## (Optional) Hardware Acceleration
-
-Hardware acceleration in Kubernetes requires NVIDIA's [`k8s-device-plugin`](https://github.com/NVIDIA/k8s-device-plugin). Follow the link for more details.
-
-Once configured, create a GPU enabled Ollama deployment.
-
-```bash
-kubectl apply -f gpu.yaml
-```

examples/langchain-python-rag-document/main.py

@@ -51,7 +51,7 @@ while True:
         template=template,
     )
 
-    llm = Ollama(model="llama2:13b", callback_manager=CallbackManager([StreamingStdOutCallbackHandler()]))
+    llm = Ollama(model="llama3:8b", callback_manager=CallbackManager([StreamingStdOutCallbackHandler()]))
     qa_chain = RetrievalQA.from_chain_type(
         llm,
         retriever=vectorstore.as_retriever(),

examples/langchain-python-rag-websummary/main.py

@@ -1,12 +1,12 @@
-from langchain.llms import Ollama
-from langchain.document_loaders import WebBaseLoader
+from langchain_community.llms import Ollama
+from langchain_community.document_loaders import WebBaseLoader
 from langchain.chains.summarize import load_summarize_chain
 
 loader = WebBaseLoader("https://ollama.com/blog/run-llama2-uncensored-locally")
 docs = loader.load()
 
-llm = Ollama(model="llama2")
+llm = Ollama(model="llama3")
 chain = load_summarize_chain(llm, chain_type="stuff")
 
-result = chain.run(docs)
+result = chain.invoke(docs) 
 print(result)

examples/langchain-python-simple/README.md

@@ -4,10 +4,10 @@ This example is a basic "hello world" of using LangChain with Ollama.
 
 ## Running the Example
 
-1. Ensure you have the `llama2` model installed:
+1. Ensure you have the `llama3` model installed:
 
    ```bash
-   ollama pull llama2
+   ollama pull llama3
    ```
 
 2. Install the Python Requirements.
@@ -21,4 +21,3 @@ This example is a basic "hello world" of using LangChain with Ollama.
    ```bash
    python main.py
    ```
-  

examples/langchain-python-simple/main.py

@@ -1,6 +1,6 @@
 from langchain.llms import Ollama
 
 input = input("What is your question?")
-llm = Ollama(model="llama2")
+llm = Ollama(model="llama3")
 res = llm.predict(input)
 print (res)

examples/modelfile-mario/Modelfile

@@ -1,4 +1,4 @@
-FROM llama2
+FROM llama3
 PARAMETER temperature 1
 SYSTEM """
 You are Mario from super mario bros, acting as an assistant.

examples/modelfile-mario/readme.md

@@ -2,12 +2,12 @@
 
 # Example character: Mario
 
-This example shows how to create a basic character using Llama2 as the base model.
+This example shows how to create a basic character using Llama3 as the base model.
 
 To run this example:
 
 1. Download the Modelfile
-2. `ollama pull llama2` to get the base model used in the model file.
+2. `ollama pull llama3` to get the base model used in the model file.
 3. `ollama create NAME -f ./Modelfile`
 4. `ollama run NAME`
 
@@ -18,7 +18,7 @@ Ask it some questions like "Who are you?" or "Is Peach in trouble again?"
 What the model file looks like:
 
 ```
-FROM llama2
+FROM llama3
 PARAMETER temperature 1
 SYSTEM """
 You are Mario from Super Mario Bros, acting as an assistant.

examples/python-json-datagenerator/predefinedschema.py

@@ -2,7 +2,7 @@ import requests
 import json
 import random
 
-model = "llama2"
+model = "llama3"
 template = {
   "firstName": "",
   "lastName": "",

examples/python-json-datagenerator/randomaddresses.py

@@ -12,7 +12,7 @@ countries = [
     "France",
 ]
 country = random.choice(countries)
-model = "llama2"
+model = "llama3"
 
 prompt = f"generate one realistically believable sample data set of a persons first name, last name, address in {country}, and phone number. Do not use common names. Respond using JSON. Key names should have no backslashes, values should use plain ascii with no special characters."
 

examples/python-json-datagenerator/readme.md

@@ -6,10 +6,10 @@ There are two python scripts in this example. `randomaddresses.py` generates ran
 
 ## Running the Example
 
-1. Ensure you have the `llama2` model installed:
+1. Ensure you have the `llama3` model installed:
 
    ```bash
-   ollama pull llama2
+   ollama pull llama3
    ```
 
 2. Install the Python Requirements.

examples/python-simplechat/client.py

@@ -2,7 +2,7 @@ import json
 import requests
 
 # NOTE: ollama must be running for this to work, start the ollama app or run `ollama serve`
-model = "llama2"  # TODO: update this for whatever model you wish to use
+model = "llama3"  # TODO: update this for whatever model you wish to use
 
 
 def chat(messages):

examples/python-simplechat/readme.md

@@ -4,10 +4,10 @@ The **chat** endpoint is one of two ways to generate text from an LLM with Ollam
 
 ## Running the Example
 
-1. Ensure you have the `llama2` model installed:
+1. Ensure you have the `llama3` model installed:
 
    ```bash
-   ollama pull llama2
+   ollama pull llama3
    ```
 
 2. Install the Python Requirements.

examples/typescript-mentors/README.md

@@ -4,10 +4,10 @@ This example demonstrates how one would create a set of 'mentors' you can have a
 
 ## Usage
 
-1. Add llama2 to have the mentors ask your questions:
+1. Add llama3 to have the mentors ask your questions:
 
    ```bash
-   ollama pull llama2
+   ollama pull llama3
    ```
 
 2. Install prerequisites:

examples/typescript-mentors/character-generator.ts

@@ -15,7 +15,7 @@ async function characterGenerator() {
   ollama.setModel("stablebeluga2:70b-q4_K_M");
   const bio = await ollama.generate(`create a bio of ${character} in a single long paragraph. Instead of saying '${character} is...' or '${character} was...' use language like 'You are...' or 'You were...'. Then create a paragraph describing the speaking mannerisms and style of ${character}. Don't include anything about how ${character} looked or what they sounded like, just focus on the words they said. Instead of saying '${character} would say...' use language like 'You should say...'. If you use quotes, always use single quotes instead of double quotes. If there are any specific words or phrases you used a lot, show how you used them. `);
 
-  const thecontents = `FROM llama2\nSYSTEM """\n${bio.response.replace(/(\r\n|\n|\r)/gm, " ").replace('would', 'should')} All answers to questions should be related back to what you are most known for.\n"""`;
+  const thecontents = `FROM llama3\nSYSTEM """\n${bio.response.replace(/(\r\n|\n|\r)/gm, " ").replace('would', 'should')} All answers to questions should be related back to what you are most known for.\n"""`;
 
   fs.writeFile(path.join(directory, 'Modelfile'), thecontents, (err: any) => {
     if (err) throw err;

examples/typescript-simplechat/client.ts

@@ -1,6 +1,6 @@
 import * as readline from "readline";
 
-const model = "llama2";
+const model = "llama3";
 type Message = {
   role: "assistant" | "user" | "system";
   content: string;

format/bytes.go

@@ -53,6 +53,8 @@ func HumanBytes(b int64) string {
 
 func HumanBytes2(b uint64) string {
 	switch {
+	case b >= GibiByte:
+		return fmt.Sprintf("%.1f GiB", float64(b)/GibiByte)
 	case b >= MebiByte:
 		return fmt.Sprintf("%.1f MiB", float64(b)/MebiByte)
 	case b >= KibiByte:

format/format.go

@@ -13,12 +13,20 @@ const (
 
 func HumanNumber(b uint64) string {
 	switch {
-	case b > Billion:
-		return fmt.Sprintf("%.0fB", math.Round(float64(b)/Billion))
-	case b > Million:
-		return fmt.Sprintf("%.0fM", math.Round(float64(b)/Million))
-	case b > Thousand:
-		return fmt.Sprintf("%.0fK", math.Round(float64(b)/Thousand))
+	case b >= Billion:
+		number := float64(b) / Billion
+		if number == math.Floor(number) {
+			return fmt.Sprintf("%.0fB", number) // no decimals if whole number
+		}
+		return fmt.Sprintf("%.1fB", number) // one decimal if not a whole number
+	case b >= Million:
+		number := float64(b) / Million
+		if number == math.Floor(number) {
+			return fmt.Sprintf("%.0fM", number) // no decimals if whole number
+		}
+		return fmt.Sprintf("%.2fM", number) // two decimals if not a whole number
+	case b >= Thousand:
+		return fmt.Sprintf("%.0fK", float64(b)/Thousand)
 	default:
 		return fmt.Sprintf("%d", b)
 	}

format/format_test.go

@@ -0,0 +1,34 @@
+package format
+
+import (
+	"testing"
+)
+
+func TestHumanNumber(t *testing.T) {
+
+	type testCase struct {
+		input    uint64
+		expected string
+	}
+
+	testCases := []testCase{
+		{0, "0"},
+		{1000000, "1M"},
+		{125000000, "125M"},
+		{500500000, "500.50M"},
+		{500550000, "500.55M"},
+		{1000000000, "1B"},
+		{2800000000, "2.8B"},
+		{2850000000, "2.9B"},
+		{1000000000000, "1000B"},
+	}
+
+	for _, tc := range testCases {
+		t.Run(tc.expected, func(t *testing.T) {
+			result := HumanNumber(tc.input)
+			if result != tc.expected {
+				t.Errorf("Expected %s, got %s", tc.expected, result)
+			}
+		})
+	}
+}

go.mod

@@ -1,36 +1,38 @@
 module github.com/ollama/ollama
 
-go 1.22
-
-toolchain go1.22.0
+go 1.22.0
 
 require (
 	github.com/containerd/console v1.0.3
 	github.com/d4l3k/go-bfloat16 v0.0.0-20211005043715-690c3bdd05f1
 	github.com/emirpasic/gods v1.18.1
-	github.com/gin-gonic/gin v1.9.1
-	github.com/golang/protobuf v1.5.0 // indirect
-	github.com/google/uuid v1.0.0
+	github.com/gin-gonic/gin v1.10.0
+	github.com/golang/protobuf v1.5.4 // indirect
+	github.com/google/uuid v1.1.2
 	github.com/mitchellh/mapstructure v1.5.0
 	github.com/olekukonko/tablewriter v0.0.5
 	github.com/spf13/cobra v1.7.0
-	github.com/stretchr/testify v1.8.4
+	github.com/stretchr/testify v1.9.0
 	github.com/x448/float16 v0.8.4
 	golang.org/x/sync v0.3.0
 )
 
 require (
 	github.com/nlpodyssey/gopickle v0.3.0
-	github.com/pdevine/tensor v0.0.0-20240228013915-64ccaa8d9ca9
+	github.com/pdevine/tensor v0.0.0-20240510204454-f88f4562727c
 )
 
 require (
-	github.com/apache/arrow/go/arrow v0.0.0-20201229220542-30ce2eb5d4dc // indirect
+	github.com/apache/arrow/go/arrow v0.0.0-20211112161151-bc219186db40 // indirect
+	github.com/bytedance/sonic/loader v0.1.1 // indirect
 	github.com/chewxy/hm v1.0.0 // indirect
-	github.com/chewxy/math32 v1.0.8 // indirect
+	github.com/chewxy/math32 v1.10.1 // indirect
+	github.com/cloudwego/base64x v0.1.4 // indirect
+	github.com/cloudwego/iasm v0.2.0 // indirect
 	github.com/davecgh/go-spew v1.1.1 // indirect
 	github.com/gogo/protobuf v1.3.2 // indirect
-	github.com/google/flatbuffers v1.12.0 // indirect
+	github.com/google/flatbuffers v24.3.25+incompatible // indirect
+	github.com/kr/text v0.2.0 // indirect
 	github.com/mattn/go-runewidth v0.0.14 // indirect
 	github.com/pkg/errors v0.9.1 // indirect
 	github.com/pmezard/go-difflib v1.0.0 // indirect
@@ -38,40 +40,38 @@ require (
 	github.com/xtgo/set v1.0.0 // indirect
 	go4.org/unsafe/assume-no-moving-gc v0.0.0-20231121144256-b99613f794b6 // indirect
 	golang.org/x/xerrors v0.0.0-20200804184101-5ec99f83aff1 // indirect
-	gonum.org/v1/gonum v0.8.2 // indirect
+	gonum.org/v1/gonum v0.15.0 // indirect
 	gorgonia.org/vecf32 v0.9.0 // indirect
 	gorgonia.org/vecf64 v0.9.0 // indirect
 )
 
 require (
-	github.com/bytedance/sonic v1.9.1 // indirect
-	github.com/chenzhuoyu/base64x v0.0.0-20221115062448-fe3a3abad311 // indirect
-	github.com/gabriel-vasile/mimetype v1.4.2 // indirect
-	github.com/gin-contrib/cors v1.4.0
+	github.com/bytedance/sonic v1.11.6 // indirect
+	github.com/gabriel-vasile/mimetype v1.4.3 // indirect
+	github.com/gin-contrib/cors v1.7.2
 	github.com/gin-contrib/sse v0.1.0 // indirect
 	github.com/go-playground/locales v0.14.1 // indirect
 	github.com/go-playground/universal-translator v0.18.1 // indirect
-	github.com/go-playground/validator/v10 v10.14.0 // indirect
+	github.com/go-playground/validator/v10 v10.20.0 // indirect
 	github.com/goccy/go-json v0.10.2 // indirect
-	github.com/google/go-cmp v0.5.9 // indirect
 	github.com/inconshreveable/mousetrap v1.1.0 // indirect
 	github.com/json-iterator/go v1.1.12 // indirect
-	github.com/klauspost/cpuid/v2 v2.2.4 // indirect
-	github.com/leodido/go-urn v1.2.4 // indirect
-	github.com/mattn/go-isatty v0.0.19 // indirect
+	github.com/klauspost/cpuid/v2 v2.2.7 // indirect
+	github.com/leodido/go-urn v1.4.0 // indirect
+	github.com/mattn/go-isatty v0.0.20 // indirect
 	github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd // indirect
 	github.com/modern-go/reflect2 v1.0.2 // indirect
-	github.com/pelletier/go-toml/v2 v2.0.8 // indirect
+	github.com/pelletier/go-toml/v2 v2.2.2 // indirect
 	github.com/spf13/pflag v1.0.5 // indirect
 	github.com/twitchyliquid64/golang-asm v0.15.1 // indirect
-	github.com/ugorji/go/codec v1.2.11 // indirect
-	golang.org/x/arch v0.3.0 // indirect
-	golang.org/x/crypto v0.14.0
-	golang.org/x/exp v0.0.0-20230817173708-d852ddb80c63
-	golang.org/x/net v0.17.0 // indirect
-	golang.org/x/sys v0.13.0
-	golang.org/x/term v0.13.0
-	golang.org/x/text v0.14.0 // indirect
-	google.golang.org/protobuf v1.30.0
+	github.com/ugorji/go/codec v1.2.12 // indirect
+	golang.org/x/arch v0.8.0 // indirect
+	golang.org/x/crypto v0.23.0
+	golang.org/x/exp v0.0.0-20231110203233-9a3e6036ecaa
+	golang.org/x/net v0.25.0 // indirect
+	golang.org/x/sys v0.20.0
+	golang.org/x/term v0.20.0
+	golang.org/x/text v0.15.0 // indirect
+	google.golang.org/protobuf v1.34.1
 	gopkg.in/yaml.v3 v3.0.1 // indirect
 )

go.sum

@@ -1,22 +1,32 @@
 cloud.google.com/go v0.26.0/go.mod h1:aQUYkXzVsufM+DwF1aE+0xfcU+56JwCaLick0ClmMTw=
+cloud.google.com/go v0.34.0/go.mod h1:aQUYkXzVsufM+DwF1aE+0xfcU+56JwCaLick0ClmMTw=
+dmitri.shuralyov.com/gpu/mtl v0.0.0-20190408044501-666a987793e9/go.mod h1:H6x//7gZCb22OMCxBHrMx7a5I7Hp++hsVxbQ4BYO7hU=
+gioui.org v0.0.0-20210308172011-57750fc8a0a6/go.mod h1:RSH6KIUZ0p2xy5zHDxgAM4zumjgTw83q2ge/PI+yyw8=
 github.com/BurntSushi/toml v0.3.1/go.mod h1:xHWCNGjB5oqiDr8zfno3MHue2Ht5sIBksp03qcyfWMU=
+github.com/BurntSushi/xgb v0.0.0-20160522181843-27f122750802/go.mod h1:IVnqGOEym/WlBOVXweHU+Q+/VP0lqqI8lqeDx9IjBqo=
 github.com/ajstarks/svgo v0.0.0-20180226025133-644b8db467af/go.mod h1:K08gAheRH3/J6wwsYMMT4xOr94bZjxIelGM0+d/wbFw=
-github.com/apache/arrow/go/arrow v0.0.0-20201229220542-30ce2eb5d4dc h1:zvQ6w7KwtQWgMQiewOF9tFtundRMVZFSAksNV6ogzuY=
-github.com/apache/arrow/go/arrow v0.0.0-20201229220542-30ce2eb5d4dc/go.mod h1:c9sxoIT3YgLxH4UhLOCKaBlEojuMhVYpk4Ntv3opUTQ=
-github.com/bytedance/sonic v1.5.0/go.mod h1:ED5hyg4y6t3/9Ku1R6dU/4KyJ48DZ4jPhfY1O2AihPM=
-github.com/bytedance/sonic v1.9.1 h1:6iJ6NqdoxCDr6mbY8h18oSO+cShGSMRGCEo7F2h0x8s=
-github.com/bytedance/sonic v1.9.1/go.mod h1:i736AoUSYt75HyZLoJW9ERYxcy6eaN6h4BZXU064P/U=
+github.com/antihax/optional v1.0.0/go.mod h1:uupD/76wgC+ih3iEmQUL+0Ugr19nfwCT1kdvxnR2qWY=
+github.com/apache/arrow/go/arrow v0.0.0-20211112161151-bc219186db40 h1:q4dksr6ICHXqG5hm0ZW5IHyeEJXoIJSOZeBLmWPNeIQ=
+github.com/apache/arrow/go/arrow v0.0.0-20211112161151-bc219186db40/go.mod h1:Q7yQnSMnLvcXlZ8RV+jwz/6y1rQTqbX6C82SndT52Zs=
+github.com/boombuler/barcode v1.0.0/go.mod h1:paBWMcWSl3LHKBqUq+rly7CNSldXjb2rDl3JlRe0mD8=
+github.com/bytedance/sonic v1.11.6 h1:oUp34TzMlL+OY1OUWxHqsdkgC/Zfc85zGqw9siXjrc0=
+github.com/bytedance/sonic v1.11.6/go.mod h1:LysEHSvpvDySVdC2f87zGWf6CIKJcAvqab1ZaiQtds4=
+github.com/bytedance/sonic/loader v0.1.1 h1:c+e5Pt1k/cy5wMveRDyk2X4B9hF4g7an8N3zCYjJFNM=
+github.com/bytedance/sonic/loader v0.1.1/go.mod h1:ncP89zfokxS5LZrJxl5z0UJcsk4M4yY2JpfqGeCtNLU=
 github.com/census-instrumentation/opencensus-proto v0.2.1/go.mod h1:f6KPmirojxKA12rnyqOA5BBL4O983OfeGPqjHWSTneU=
-github.com/chenzhuoyu/base64x v0.0.0-20211019084208-fb5309c8db06/go.mod h1:DH46F32mSOjUmXrMHnKwZdA8wcEefY7UVqBKYGjpdQY=
-github.com/chenzhuoyu/base64x v0.0.0-20221115062448-fe3a3abad311 h1:qSGYFH7+jGhDF8vLC+iwCD4WpbV1EBDSzWkJODFLams=
-github.com/chenzhuoyu/base64x v0.0.0-20221115062448-fe3a3abad311/go.mod h1:b583jCggY9gE99b6G5LEC39OIiVsWj+R97kbl5odCEk=
 github.com/chewxy/hm v1.0.0 h1:zy/TSv3LV2nD3dwUEQL2VhXeoXbb9QkpmdRAVUFiA6k=
 github.com/chewxy/hm v1.0.0/go.mod h1:qg9YI4q6Fkj/whwHR1D+bOGeF7SniIP40VweVepLjg0=
 github.com/chewxy/math32 v1.0.0/go.mod h1:Miac6hA1ohdDUTagnvJy/q+aNnEk16qWUdb8ZVhvCN0=
-github.com/chewxy/math32 v1.0.8 h1:fU5E4Ec4Z+5RtRAi3TovSxUjQPkgRh+HbP7tKB2OFbM=
-github.com/chewxy/math32 v1.0.8/go.mod h1:dOB2rcuFrCn6UHrze36WSLVPKtzPMRAQvBvUwkSsLqs=
+github.com/chewxy/math32 v1.10.1 h1:LFpeY0SLJXeaiej/eIp2L40VYfscTvKh/FSEZ68uMkU=
+github.com/chewxy/math32 v1.10.1/go.mod h1:dOB2rcuFrCn6UHrze36WSLVPKtzPMRAQvBvUwkSsLqs=
 github.com/client9/misspell v0.3.4/go.mod h1:qj6jICC3Q7zFZvVWo7KLAzC3yx5G7kyvSDkc90ppPyw=
+github.com/cloudwego/base64x v0.1.4 h1:jwCgWpFanWmN8xoIUHa2rtzmkd5J2plF/dnLS6Xd/0Y=
+github.com/cloudwego/base64x v0.1.4/go.mod h1:0zlkT4Wn5C6NdauXdJRhSKRlJvmclQ1hhJgA0rcu/8w=
+github.com/cloudwego/iasm v0.2.0 h1:1KNIy1I1H9hNNFEEH3DVnI4UujN+1zjpuk6gwHLTssg=
+github.com/cloudwego/iasm v0.2.0/go.mod h1:8rXZaNYT2n95jn+zTI1sDr+IgcD2GVs0nlbbQPiEFhY=
 github.com/cncf/udpa/go v0.0.0-20191209042840-269d4d468f6f/go.mod h1:M8M6+tZqaGXZJjfX53e64911xZQV5JYwmTeXPW+k8Sc=
+github.com/cncf/udpa/go v0.0.0-20201120205902-5459f2c99403/go.mod h1:WmhPx2Nbnhtbo57+VJT5O0JRkEi1Wbu0z5j0R8u5Hbk=
+github.com/cncf/xds/go v0.0.0-20210312221358-fbca930ec8ed/go.mod h1:eXthEFrGJvWHgFFCl3hGmgk+/aYT6PnTQLykKQRLhEs=
 github.com/containerd/console v1.0.3 h1:lIr7SlA5PxZyMV30bDW0MGbiOPXwc63yRuCP0ARubLw=
 github.com/containerd/console v1.0.3/go.mod h1:7LqA/THxQ86k76b8c/EMSiaJ3h1eZkMkXar0TQ1gf3U=
 github.com/cpuguy83/go-md2man/v2 v2.0.2/go.mod h1:tgQtvFlXSQOSOSIRvRPT7W67SCa46tRHOmNcaadrF8o=
@@ -31,30 +41,35 @@ github.com/emirpasic/gods v1.18.1/go.mod h1:8tpGGwCnJ5H4r6BWwaV6OrWmMoPhUl5jm/FM
 github.com/envoyproxy/go-control-plane v0.9.0/go.mod h1:YTl/9mNaCwkRvm6d1a2C3ymFceY/DCBVvsKhRF0iEA4=
 github.com/envoyproxy/go-control-plane v0.9.1-0.20191026205805-5f8ba28d4473/go.mod h1:YTl/9mNaCwkRvm6d1a2C3ymFceY/DCBVvsKhRF0iEA4=
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 golang.org/x/sys v0.0.0-20210124154548-22da62e12c0c/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
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 golang.org/x/sys v0.6.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
-golang.org/x/sys v0.13.0 h1:Af8nKPmuFypiUBjVoU9V20FiaFXOcuZI21p0ycVYYGE=
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-golang.org/x/term v0.13.0/go.mod h1:LTmsnFJwVN6bCy1rVCoS+qHT1HhALEFxKncY3WNNh4U=
+golang.org/x/term v0.20.0 h1:VnkxpohqXaOBYJtBmEppKUG6mXpi+4O6purfc2+sMhw=
+golang.org/x/term v0.20.0/go.mod h1:8UkIAJTvZgivsXaD6/pH6U9ecQzZ45awqEOzuCvwpFY=
 golang.org/x/text v0.3.0/go.mod h1:NqM8EUOU14njkJ3fqMW+pc6Ldnwhi/IjpwHt7yyuwOQ=
 golang.org/x/text v0.3.3/go.mod h1:5Zoc/QRtKVWzQhOtBMvqHzDpF6irO9z98xDceosuGiQ=
+golang.org/x/text v0.3.5/go.mod h1:5Zoc/QRtKVWzQhOtBMvqHzDpF6irO9z98xDceosuGiQ=
 golang.org/x/text v0.3.6/go.mod h1:5Zoc/QRtKVWzQhOtBMvqHzDpF6irO9z98xDceosuGiQ=
-golang.org/x/text v0.14.0 h1:ScX5w1eTa3QqT8oi6+ziP7dTV1S2+ALU0bI+0zXKWiQ=
-golang.org/x/text v0.14.0/go.mod h1:18ZOQIKpY8NJVqYksKHtTdi31H5itFRjB5/qKTNYzSU=
+golang.org/x/text v0.15.0 h1:h1V/4gjBv8v9cjcR6+AR5+/cIYK5N/WAgiv4xlsEtAk=
+golang.org/x/text v0.15.0/go.mod h1:18ZOQIKpY8NJVqYksKHtTdi31H5itFRjB5/qKTNYzSU=
 golang.org/x/tools v0.0.0-20180525024113-a5b4c53f6e8b/go.mod h1:n7NCudcB/nEzxVGmLbDWY5pfWTLqBcC2KZ6jyYvM4mQ=
 golang.org/x/tools v0.0.0-20180917221912-90fa682c2a6e/go.mod h1:n7NCudcB/nEzxVGmLbDWY5pfWTLqBcC2KZ6jyYvM4mQ=
 golang.org/x/tools v0.0.0-20190114222345-bf090417da8b/go.mod h1:n7NCudcB/nEzxVGmLbDWY5pfWTLqBcC2KZ6jyYvM4mQ=
@@ -247,34 +294,40 @@ golang.org/x/tools v0.0.0-20190206041539-40960b6deb8e/go.mod h1:n7NCudcB/nEzxVGm
 golang.org/x/tools v0.0.0-20190226205152-f727befe758c/go.mod h1:9Yl7xja0Znq3iFh3HoIrodX9oNMXvdceNzlUR8zjMvY=
 golang.org/x/tools v0.0.0-20190311212946-11955173bddd/go.mod h1:LCzVGOaR6xXOjkQ3onu1FJEFr0SW1gC7cKk1uF8kGRs=
 golang.org/x/tools v0.0.0-20190524140312-2c0ae7006135/go.mod h1:RgjU9mgBXZiqYHBnxXauZ1Gv1EHHAz9KjViQ78xBX0Q=
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 golang.org/x/tools v0.0.0-20191119224855-298f0cb1881e/go.mod h1:b+2E5dAYhXwXZwtnZ6UAqBI28+e2cm9otk0dWdXHAEo=
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 golang.org/x/tools v0.0.0-20200619180055-7c47624df98f/go.mod h1:EkVYQZoAsY45+roYkvgYkIh4xh/qjgUK9TdY2XT94GE=
 golang.org/x/tools v0.0.0-20210106214847-113979e3529a/go.mod h1:emZCQorbCU4vsT4fOWvOPXz4eW1wZW4PmDk9uLelYpA=
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 golang.org/x/xerrors v0.0.0-20190717185122-a985d3407aa7/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
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 golang.org/x/xerrors v0.0.0-20191204190536-9bdfabe68543/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
 golang.org/x/xerrors v0.0.0-20200804184101-5ec99f83aff1 h1:go1bK/D/BFZV2I8cIQd1NKEZ+0owSTG1fDTci4IqFcE=
 golang.org/x/xerrors v0.0.0-20200804184101-5ec99f83aff1/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
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-gonum.org/v1/gonum v0.8.2 h1:CCXrcPKiGGotvnN6jfUsKk4rRqm7q09/YbKb5xCEvtM=
 gonum.org/v1/gonum v0.8.2/go.mod h1:oe/vMfY3deqTw+1EZJhuvEW2iwGF1bW9wwu7XCu0+v0=
-gonum.org/v1/netlib v0.0.0-20190313105609-8cb42192e0e0 h1:OE9mWmgKkjJyEmDAAtGMPjXu+YNeGvK9VTSHY6+Qihc=
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-google.golang.org/grpc v1.32.0 h1:zWTV+LMdc3kaiJMSTOFz2UgSBgx8RNQoTGiZu3fR9S0=
-google.golang.org/grpc v1.32.0/go.mod h1:N36X2cJ7JwdamYAgDz+s+rVMFjt3numwzf/HckM8pak=
-google.golang.org/grpc/cmd/protoc-gen-go-grpc v0.0.0-20200910201057-6591123024b3/go.mod h1:6Kw0yEErY5E/yWrBtf03jp27GLLJujG4z/JK95pnjjw=
+google.golang.org/grpc v1.33.1/go.mod h1:fr5YgcSWrqhRRxogOsw7RzIpsmvOZ6IcH4kBYTpR3n0=
+google.golang.org/grpc v1.36.0/go.mod h1:qjiiYl8FncCW8feJPdyg3v6XW24KsRHe+dy9BAGRRjU=
+google.golang.org/grpc v1.38.0/go.mod h1:NREThFqKR1f3iQ6oBuvc5LadQuXVGo9rkm5ZGrQdJfM=
+google.golang.org/grpc v1.39.0/go.mod h1:PImNr+rS9TWYb2O4/emRugxiyHZ5JyHW5F+RPnDzfrE=
 google.golang.org/protobuf v0.0.0-20200109180630-ec00e32a8dfd/go.mod h1:DFci5gLYBciE7Vtevhsrf46CRTquxDuWsQurQQe4oz8=
 google.golang.org/protobuf v0.0.0-20200221191635-4d8936d0db64/go.mod h1:kwYJMbMJ01Woi6D6+Kah6886xMZcty6N08ah7+eCXa0=
 google.golang.org/protobuf v0.0.0-20200228230310-ab0ca4ff8a60/go.mod h1:cfTl7dwQJ+fmap5saPgwCLgHXTUD7jkjRqWcaiX5VyM=
@@ -283,20 +336,18 @@ google.golang.org/protobuf v1.21.0/go.mod h1:47Nbq4nVaFHyn7ilMalzfO3qCViNmqZ2kzi
 google.golang.org/protobuf v1.22.0/go.mod h1:EGpADcykh3NcUnDUJcl1+ZksZNG86OlYog2l/sGQquU=
 google.golang.org/protobuf v1.23.0/go.mod h1:EGpADcykh3NcUnDUJcl1+ZksZNG86OlYog2l/sGQquU=
 google.golang.org/protobuf v1.23.1-0.20200526195155-81db48ad09cc/go.mod h1:EGpADcykh3NcUnDUJcl1+ZksZNG86OlYog2l/sGQquU=
-google.golang.org/protobuf v1.24.0/go.mod h1:r/3tXBNzIEhYS9I1OUVjXDlt8tc493IdKGjtUeSXeh4=
 google.golang.org/protobuf v1.25.0/go.mod h1:9JNX74DMeImyA3h4bdi1ymwjUzf21/xIlbajtzgsN7c=
 google.golang.org/protobuf v1.26.0-rc.1/go.mod h1:jlhhOSvTdKEhbULTjvd4ARK9grFBp09yW+WbY/TyQbw=
-google.golang.org/protobuf v1.28.0/go.mod h1:HV8QOd/L58Z+nl8r43ehVNZIU/HEI6OcFqwMG9pJV4I=
-google.golang.org/protobuf v1.30.0 h1:kPPoIgf3TsEvrm0PFe15JQ+570QVxYzEvvHqChK+cng=
-google.golang.org/protobuf v1.30.0/go.mod h1:HV8QOd/L58Z+nl8r43ehVNZIU/HEI6OcFqwMG9pJV4I=
+google.golang.org/protobuf v1.26.0/go.mod h1:9q0QmTI4eRPtz6boOQmLYwt+qCgq0jsYwAQnmE0givc=
+google.golang.org/protobuf v1.27.1/go.mod h1:9q0QmTI4eRPtz6boOQmLYwt+qCgq0jsYwAQnmE0givc=
+google.golang.org/protobuf v1.34.1 h1:9ddQBjfCyZPOHPUiPxpYESBLc+T8P3E+Vo4IbKZgFWg=
+google.golang.org/protobuf v1.34.1/go.mod h1:c6P6GXX6sHbq/GpV6MGZEdwhWPcYBgnhAHhKbcUYpos=
 gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0=
-gopkg.in/check.v1 v1.0.0-20180628173108-788fd7840127/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0=
 gopkg.in/check.v1 v1.0.0-20201130134442-10cb98267c6c h1:Hei/4ADfdWqJk1ZMxUNpqntNwaWcugrBjAiHlqqRiVk=
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-gopkg.in/errgo.v2 v2.1.0/go.mod h1:hNsd1EY+bozCKY1Ytp96fpM3vjJbqLJn88ws8XvfDNI=
-gopkg.in/yaml.v2 v2.4.0/go.mod h1:RDklbk79AGWmwhnvt/jBztapEOGDOx6ZbXqjP6csGnQ=
+gopkg.in/yaml.v2 v2.2.2/go.mod h1:hI93XBmqTisBFMUTm0b8Fm+jr3Dg1NNxqwp+5A1VGuI=
+gopkg.in/yaml.v2 v2.2.3/go.mod h1:hI93XBmqTisBFMUTm0b8Fm+jr3Dg1NNxqwp+5A1VGuI=
 gopkg.in/yaml.v3 v3.0.0-20200313102051-9f266ea9e77c/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=
-gopkg.in/yaml.v3 v3.0.0-20210107192922-496545a6307b/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=
 gopkg.in/yaml.v3 v3.0.1 h1:fxVm/GzAzEWqLHuvctI91KS9hhNmmWOoWu0XTYJS7CA=
 gopkg.in/yaml.v3 v3.0.1/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=
 gorgonia.org/vecf32 v0.9.0 h1:PClazic1r+JVJ1dEzRXgeiVl4g1/Hf/w+wUSqnco1Xg=
@@ -305,4 +356,5 @@ gorgonia.org/vecf64 v0.9.0 h1:bgZDP5x0OzBF64PjMGC3EvTdOoMEcmfAh1VCUnZFm1A=
 gorgonia.org/vecf64 v0.9.0/go.mod h1:hp7IOWCnRiVQKON73kkC/AUMtEXyf9kGlVrtPQ9ccVA=
 honnef.co/go/tools v0.0.0-20190102054323-c2f93a96b099/go.mod h1:rf3lG4BRIbNafJWhAfAdb/ePZxsR/4RtNHQocxwk9r4=
 honnef.co/go/tools v0.0.0-20190523083050-ea95bdfd59fc/go.mod h1:rf3lG4BRIbNafJWhAfAdb/ePZxsR/4RtNHQocxwk9r4=
+nullprogram.com/x/optparse v1.0.0/go.mod h1:KdyPE+Igbe0jQUrVfMqDMeJQIJZEuyV7pjYmp6pbG50=
 rsc.io/pdf v0.1.1/go.mod h1:n8OzWcQ6Sp37PL01nO98y4iUCRdTGarVfzxY20ICaU4=

gpu/amd_common.go

@@ -81,8 +81,10 @@ func commonAMDValidateLibDir() (string, error) {
 	}
 
 	// Well known location(s)
-	if rocmLibUsable(RocmStandardLocation) {
-		return RocmStandardLocation, nil
+	for _, path := range RocmStandardLocations {
+		if rocmLibUsable(path) {
+			return path, nil
+		}
 	}
 
 	// Installer payload location if we're running the installed binary

gpu/amd_hip_windows.go

@@ -3,7 +3,6 @@ package gpu
 import (
 	"fmt"
 	"log/slog"
-	"strconv"
 	"syscall"
 	"unsafe"
 
@@ -74,16 +73,22 @@ func (hl *HipLib) Release() {
 	hl.dll = 0
 }
 
-func (hl *HipLib) AMDDriverVersion() (string, error) {
+func (hl *HipLib) AMDDriverVersion() (driverMajor, driverMinor int, err error) {
 	if hl.dll == 0 {
-		return "", fmt.Errorf("dll has been unloaded")
+		return 0, 0, fmt.Errorf("dll has been unloaded")
 	}
 	var version int
 	status, _, err := syscall.SyscallN(hl.hipDriverGetVersion, uintptr(unsafe.Pointer(&version)))
 	if status != hipSuccess {
-		return "", fmt.Errorf("failed call to hipDriverGetVersion: %d %s", status, err)
+		return 0, 0, fmt.Errorf("failed call to hipDriverGetVersion: %d %s", status, err)
 	}
-	return strconv.Itoa(version), nil
+
+	slog.Debug("hipDriverGetVersion", "version", version)
+	// TODO - this isn't actually right, but the docs claim hipDriverGetVersion isn't accurate anyway...
+	driverMajor = version / 1000
+	driverMinor = (version - (driverMajor * 1000)) / 10
+
+	return driverMajor, driverMinor, nil
 }
 
 func (hl *HipLib) HipGetDeviceCount() int {

gpu/amd_linux.go

@@ -8,6 +8,7 @@ import (
 	"log/slog"
 	"os"
 	"path/filepath"
+	"regexp"
 	"slices"
 	"strconv"
 	"strings"
@@ -25,12 +26,12 @@ const (
 	// Prefix with the node dir
 	GPUTotalMemoryFileGlob = "mem_banks/*/properties" // size_in_bytes line
 	GPUUsedMemoryFileGlob  = "mem_banks/*/used_memory"
-	RocmStandardLocation   = "/opt/rocm/lib"
 )
 
 var (
 	// Used to validate if the given ROCm lib is usable
-	ROCmLibGlobs = []string{"libhipblas.so.2*", "rocblas"} // TODO - probably include more coverage of files here...
+	ROCmLibGlobs          = []string{"libhipblas.so.2*", "rocblas"} // TODO - probably include more coverage of files here...
+	RocmStandardLocations = []string{"/opt/rocm/lib", "/usr/lib64"}
 )
 
 // Gather GPU information from the amdgpu driver if any supported GPUs are detected
@@ -41,10 +42,8 @@ func AMDGetGPUInfo() []GpuInfo {
 	}
 
 	// Opportunistic logging of driver version to aid in troubleshooting
-	ver, err := AMDDriverVersion()
-	if err == nil {
-		slog.Info("AMD Driver: " + ver)
-	} else {
+	driverMajor, driverMinor, err := AMDDriverVersion()
+	if err != nil {
 		// TODO - if we see users crash and burn with the upstreamed kernel this can be adjusted to hard-fail rocm support and fallback to CPU
 		slog.Warn("ollama recommends running the https://www.amd.com/en/support/linux-drivers", "error", err)
 	}
@@ -91,6 +90,7 @@ func AMDGetGPUInfo() []GpuInfo {
 		scanner := bufio.NewScanner(fp)
 		isCPU := false
 		var major, minor, patch uint64
+		var vendor, device uint64
 		for scanner.Scan() {
 			line := strings.TrimSpace(scanner.Text())
 			// Note: we could also use "cpu_cores_count X" where X is greater than zero to detect CPUs
@@ -118,6 +118,26 @@ func AMDGetGPUInfo() []GpuInfo {
 					slog.Debug("malformed int " + line)
 					continue
 				}
+			} else if strings.HasPrefix(line, "vendor_id") {
+				ver := strings.Fields(line)
+				if len(ver) != 2 {
+					slog.Debug("malformed vendor_id", "vendor_id", line)
+					continue
+				}
+				vendor, err = strconv.ParseUint(ver[1], 10, 32)
+				if err != nil {
+					slog.Debug("malformed vendor_id" + line)
+				}
+			} else if strings.HasPrefix(line, "device_id") {
+				ver := strings.Fields(line)
+				if len(ver) != 2 {
+					slog.Debug("malformed device_id", "device_id", line)
+					continue
+				}
+				device, err = strconv.ParseUint(ver[1], 10, 32)
+				if err != nil {
+					slog.Debug("malformed device_id" + line)
+				}
 			}
 
 			// TODO - any other properties we want to extract and record?
@@ -140,7 +160,7 @@ func AMDGetGPUInfo() []GpuInfo {
 		}
 
 		if int(major) < RocmComputeMin {
-			slog.Warn(fmt.Sprintf("amdgpu too old gfx%d%d%x", major, minor, patch), "gpu", gpuID)
+			slog.Warn(fmt.Sprintf("amdgpu too old gfx%d%x%x", major, minor, patch), "gpu", gpuID)
 			continue
 		}
 
@@ -210,24 +230,29 @@ func AMDGetGPUInfo() []GpuInfo {
 
 		// iGPU detection, remove this check once we can support an iGPU variant of the rocm library
 		if totalMemory < IGPUMemLimit {
-			slog.Info("amdgpu appears to be an iGPU, skipping", "gpu", gpuID, "total", format.HumanBytes2(totalMemory))
+			slog.Info("unsupported Radeon iGPU detected skipping", "id", gpuID, "total", format.HumanBytes2(totalMemory))
 			continue
 		}
+		var name string
+		// TODO - PCI ID lookup
+		if vendor > 0 && device > 0 {
+			name = fmt.Sprintf("%04x:%04x", vendor, device)
+		}
 
-		slog.Info("amdgpu memory", "gpu", gpuID, "total", format.HumanBytes2(totalMemory))
-		slog.Info("amdgpu memory", "gpu", gpuID, "available", format.HumanBytes2(totalMemory-usedMemory))
+		slog.Debug("amdgpu memory", "gpu", gpuID, "total", format.HumanBytes2(totalMemory))
+		slog.Debug("amdgpu memory", "gpu", gpuID, "available", format.HumanBytes2(totalMemory-usedMemory))
 		gpuInfo := GpuInfo{
 			Library: "rocm",
 			memInfo: memInfo{
 				TotalMemory: totalMemory,
 				FreeMemory:  (totalMemory - usedMemory),
 			},
-			ID: fmt.Sprintf("%d", gpuID),
-			// Name: not exposed in sysfs directly, would require pci device id lookup
-			Major:         int(major),
-			Minor:         int(minor),
-			Patch:         int(patch),
+			ID:            fmt.Sprintf("%d", gpuID),
+			Name:          name,
+			Compute:       fmt.Sprintf("gfx%d%x%x", major, minor, patch),
 			MinimumMemory: rocmMinimumMemory,
+			DriverMajor:   driverMajor,
+			DriverMinor:   driverMinor,
 		}
 
 		// If the user wants to filter to a subset of devices, filter out if we aren't a match
@@ -266,7 +291,7 @@ func AMDGetGPUInfo() []GpuInfo {
 				}
 				slog.Debug("rocm supported GPUs", "types", supported)
 			}
-			gfx := fmt.Sprintf("gfx%d%d%x", gpuInfo.Major, gpuInfo.Minor, gpuInfo.Patch)
+			gfx := gpuInfo.Compute
 			if !slices.Contains[[]string, string](supported, gfx) {
 				slog.Warn("amdgpu is not supported", "gpu", gpuInfo.ID, "gpu_type", gfx, "library", libDir, "supported_types", supported)
 				// TODO - consider discrete markdown just for ROCM troubleshooting?
@@ -276,7 +301,7 @@ func AMDGetGPUInfo() []GpuInfo {
 				slog.Info("amdgpu is supported", "gpu", gpuInfo.ID, "gpu_type", gfx)
 			}
 		} else {
-			slog.Debug("skipping rocm gfx compatibility check with HSA_OVERRIDE_GFX_VERSION=" + gfxOverride)
+			slog.Info("skipping rocm gfx compatibility check", "HSA_OVERRIDE_GFX_VERSION", gfxOverride)
 		}
 
 		// The GPU has passed all the verification steps and is supported
@@ -322,19 +347,34 @@ func AMDValidateLibDir() (string, error) {
 	return "", fmt.Errorf("no suitable rocm found, falling back to CPU")
 }
 
-func AMDDriverVersion() (string, error) {
-	_, err := os.Stat(DriverVersionFile)
+func AMDDriverVersion() (driverMajor, driverMinor int, err error) {
+	_, err = os.Stat(DriverVersionFile)
 	if err != nil {
-		return "", fmt.Errorf("amdgpu version file missing: %s %w", DriverVersionFile, err)
+		return 0, 0, fmt.Errorf("amdgpu version file missing: %s %w", DriverVersionFile, err)
 	}
 	fp, err := os.Open(DriverVersionFile)
 	if err != nil {
-		return "", err
+		return 0, 0, err
 	}
 	defer fp.Close()
 	verString, err := io.ReadAll(fp)
 	if err != nil {
-		return "", err
+		return 0, 0, err
 	}
-	return strings.TrimSpace(string(verString)), nil
+
+	pattern := `\A(\d+)\.(\d+).*`
+	regex := regexp.MustCompile(pattern)
+	match := regex.FindStringSubmatch(string(verString))
+	if len(match) < 2 {
+		return 0, 0, fmt.Errorf("malformed version string %s", string(verString))
+	}
+	driverMajor, err = strconv.Atoi(match[1])
+	if err != nil {
+		return 0, 0, err
+	}
+	driverMinor, err = strconv.Atoi(match[2])
+	if err != nil {
+		return 0, 0, err
+	}
+	return driverMajor, driverMinor, nil
 }

gpu/amd_windows.go

@@ -7,14 +7,12 @@ import (
 	"os"
 	"path/filepath"
 	"slices"
-	"strconv"
 	"strings"
 
 	"github.com/ollama/ollama/format"
 )
 
 const (
-	RocmStandardLocation = "C:\\Program Files\\AMD\\ROCm\\5.7\\bin" // TODO glob?
 
 	// TODO  We're lookinng for this exact name to detect iGPUs since hipGetDeviceProperties never reports integrated==true
 	iGPUName = "AMD Radeon(TM) Graphics"
@@ -22,7 +20,8 @@ const (
 
 var (
 	// Used to validate if the given ROCm lib is usable
-	ROCmLibGlobs = []string{"hipblas.dll", "rocblas"} // TODO - probably include more coverage of files here...
+	ROCmLibGlobs          = []string{"hipblas.dll", "rocblas"}                 // TODO - probably include more coverage of files here...
+	RocmStandardLocations = []string{"C:\\Program Files\\AMD\\ROCm\\5.7\\bin"} // TODO glob?
 )
 
 func AMDGetGPUInfo() []GpuInfo {
@@ -34,13 +33,12 @@ func AMDGetGPUInfo() []GpuInfo {
 	}
 	defer hl.Release()
 
-	ver, err := hl.AMDDriverVersion()
-	if err == nil {
-		slog.Info("AMD Driver: " + ver)
-	} else {
-		// For now this is benign, but we may eventually need to fail compatibility checks
-		slog.Debug("error looking up amd driver version", "error", err)
-	}
+	// TODO - this reports incorrect version information, so omitting for now
+	// driverMajor, driverMinor, err := hl.AMDDriverVersion()
+	// if err != nil {
+	// 	// For now this is benign, but we may eventually need to fail compatibility checks
+	// 	slog.Debug("error looking up amd driver version", "error", err)
+	// }
 
 	// Note: the HIP library automatically handles subsetting to any HIP_VISIBLE_DEVICES the user specified
 	count := hl.HipGetDeviceCount()
@@ -62,10 +60,10 @@ func AMDGetGPUInfo() []GpuInfo {
 			return nil
 		}
 	} else {
-		slog.Debug("skipping rocm gfx compatibility check with HSA_OVERRIDE_GFX_VERSION=" + gfxOverride)
+		slog.Info("skipping rocm gfx compatibility check", "HSA_OVERRIDE_GFX_VERSION", gfxOverride)
 	}
 
-	slog.Info("detected hip devices", "count", count)
+	slog.Debug("detected hip devices", "count", count)
 	// TODO how to determine the underlying device ID when visible devices is causing this to subset?
 	for i := 0; i < count; i++ {
 		err = hl.HipSetDevice(i)
@@ -85,18 +83,11 @@ func AMDGetGPUInfo() []GpuInfo {
 		// Can luid be used on windows for setting visible devices (and is it actually set?)
 		n = bytes.IndexByte(props.GcnArchName[:], 0)
 		gfx := string(props.GcnArchName[:n])
-		slog.Info("hip device", "id", i, "name", name, "gfx", gfx)
-		var major, minor, patch string
-		switch len(gfx) {
-		case 6:
-			major, minor, patch = gfx[3:4], gfx[4:5], gfx[5:]
-		case 7:
-			major, minor, patch = gfx[3:5], gfx[5:6], gfx[6:]
-		}
+		slog.Debug("hip device", "id", i, "name", name, "gfx", gfx)
 		//slog.Info(fmt.Sprintf("[%d] Integrated: %d", i, props.iGPU)) // DOESN'T REPORT CORRECTLY!  Always 0
 		// TODO  Why isn't props.iGPU accurate!?
 		if strings.EqualFold(name, iGPUName) {
-			slog.Info("iGPU detected skipping", "id", i)
+			slog.Info("unsupported Radeon iGPU detected skipping", "id", i, "name", name, "gfx", gfx)
 			continue
 		}
 		if gfxOverride == "" {
@@ -106,7 +97,7 @@ func AMDGetGPUInfo() []GpuInfo {
 				slog.Warn("See https://github.com/ollama/ollama/blob/main/docs/troubleshooting.md for HSA_OVERRIDE_GFX_VERSION usage")
 				continue
 			} else {
-				slog.Info("amdgpu is supported", "gpu", i, "gpu_type", gfx)
+				slog.Debug("amdgpu is supported", "gpu", i, "gpu_type", gfx)
 			}
 		}
 
@@ -124,8 +115,8 @@ func AMDGetGPUInfo() []GpuInfo {
 
 		// TODO revisit this once ROCm v6 is available on windows.
 		// v5.7 only reports VRAM used by this process, so it's completely wrong and unusable
-		slog.Info("amdgpu memory", "gpu", i, "total", format.HumanBytes2(totalMemory))
-		slog.Info("amdgpu memory", "gpu", i, "available", format.HumanBytes2(freeMemory))
+		slog.Debug("amdgpu memory", "gpu", i, "total", format.HumanBytes2(totalMemory))
+		slog.Debug("amdgpu memory", "gpu", i, "available", format.HumanBytes2(freeMemory))
 		gpuInfo := GpuInfo{
 			Library: "rocm",
 			memInfo: memInfo{
@@ -135,31 +126,12 @@ func AMDGetGPUInfo() []GpuInfo {
 			ID:             fmt.Sprintf("%d", i), // TODO this is probably wrong if we specify visible devices
 			DependencyPath: libDir,
 			MinimumMemory:  rocmMinimumMemory,
-		}
-		if major != "" {
-			gpuInfo.Major, err = strconv.Atoi(major)
-			if err != nil {
-				slog.Info("failed to parse version", "version", gfx, "error", err)
-			}
-		}
-		if minor != "" {
-			gpuInfo.Minor, err = strconv.Atoi(minor)
-			if err != nil {
-				slog.Info("failed to parse version", "version", gfx, "error", err)
-			}
-		}
-		if patch != "" {
-			// Patch rev is hex; e.g. gfx90a
-			p, err := strconv.ParseInt(patch, 16, 0)
-			if err != nil {
-				slog.Info("failed to parse version", "version", gfx, "error", err)
-			} else {
-				gpuInfo.Patch = int(p)
-			}
-		}
-		if gpuInfo.Major < RocmComputeMin {
-			slog.Warn(fmt.Sprintf("amdgpu [%s] too old gfx%d%d%x", gpuInfo.ID, gpuInfo.Major, gpuInfo.Minor, gpuInfo.Patch))
-			continue
+			Name:           name,
+			Compute:        gfx,
+
+			// TODO - this information isn't accurate on windows, so don't report it until we find the right way to retrieve
+			// DriverMajor:    driverMajor,
+			// DriverMinor:    driverMinor,
 		}
 
 		resp = append(resp, gpuInfo)

gpu/assets.go

@@ -12,6 +12,8 @@ import (
 	"sync"
 	"syscall"
 	"time"
+
+	"github.com/ollama/ollama/server/envconfig"
 )
 
 var (
@@ -24,45 +26,8 @@ func PayloadsDir() (string, error) {
 	defer lock.Unlock()
 	var err error
 	if payloadsDir == "" {
-		runnersDir := os.Getenv("OLLAMA_RUNNERS_DIR")
-		// On Windows we do not carry the payloads inside the main executable
-		if runtime.GOOS == "windows" && runnersDir == "" {
-			appExe, err := os.Executable()
-			if err != nil {
-				slog.Error("failed to lookup executable path", "error", err)
-				return "", err
-			}
+		runnersDir := envconfig.RunnersDir
 
-			cwd, err := os.Getwd()
-			if err != nil {
-				slog.Error("failed to lookup working directory", "error", err)
-				return "", err
-			}
-
-			var paths []string
-			for _, root := range []string{filepath.Dir(appExe), cwd} {
-				paths = append(paths,
-					filepath.Join(root),
-					filepath.Join(root, "windows-"+runtime.GOARCH),
-					filepath.Join(root, "dist", "windows-"+runtime.GOARCH),
-				)
-			}
-
-			// Try a few variations to improve developer experience when building from source in the local tree
-			for _, p := range paths {
-				candidate := filepath.Join(p, "ollama_runners")
-				_, err := os.Stat(candidate)
-				if err == nil {
-					runnersDir = candidate
-					break
-				}
-			}
-			if runnersDir == "" {
-				err = fmt.Errorf("unable to locate llm runner directory.  Set OLLAMA_RUNNERS_DIR to the location of 'ollama_runners'")
-				slog.Error("incomplete distribution", "error", err)
-				return "", err
-			}
-		}
 		if runnersDir != "" {
 			payloadsDir = runnersDir
 			return payloadsDir, nil
@@ -70,7 +35,7 @@ func PayloadsDir() (string, error) {
 
 		// The remainder only applies on non-windows where we still carry payloads in the main executable
 		cleanupTmpDirs()
-		tmpDir := os.Getenv("OLLAMA_TMPDIR")
+		tmpDir := envconfig.TmpDir
 		if tmpDir == "" {
 			tmpDir, err = os.MkdirTemp("", "ollama")
 			if err != nil {
@@ -133,7 +98,7 @@ func cleanupTmpDirs() {
 func Cleanup() {
 	lock.Lock()
 	defer lock.Unlock()
-	runnersDir := os.Getenv("OLLAMA_RUNNERS_DIR")
+	runnersDir := envconfig.RunnersDir
 	if payloadsDir != "" && runnersDir == "" && runtime.GOOS != "windows" {
 		// We want to fully clean up the tmpdir parent of the payloads dir
 		tmpDir := filepath.Clean(filepath.Join(payloadsDir, ".."))

gpu/cpu_common.go

@@ -8,14 +8,14 @@ import (
 
 func GetCPUVariant() string {
 	if cpu.X86.HasAVX2 {
-		slog.Info("CPU has AVX2")
+		slog.Debug("CPU has AVX2")
 		return "avx2"
 	}
 	if cpu.X86.HasAVX {
-		slog.Info("CPU has AVX")
+		slog.Debug("CPU has AVX")
 		return "avx"
 	}
-	slog.Info("CPU does not have vector extensions")
+	slog.Debug("CPU does not have vector extensions")
 	// else LCD
 	return ""
 }

gpu/gpu.go

@@ -21,11 +21,13 @@ import (
 	"unsafe"
 
 	"github.com/ollama/ollama/format"
+	"github.com/ollama/ollama/server/envconfig"
 )
 
 type handles struct {
 	deviceCount int
 	cudart      *C.cudart_handle_t
+	nvcuda      *C.nvcuda_handle_t
 }
 
 const (
@@ -62,6 +64,22 @@ var CudartWindowsGlobs = []string{
 	"c:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v*\\bin\\cudart64_*.dll",
 }
 
+var NvcudaLinuxGlobs = []string{
+	"/usr/local/cuda*/targets/*/lib/libcuda.so*",
+	"/usr/lib/*-linux-gnu/nvidia/current/libcuda.so*",
+	"/usr/lib/*-linux-gnu/libcuda.so*",
+	"/usr/lib/wsl/lib/libcuda.so*",
+	"/usr/lib/wsl/drivers/*/libcuda.so*",
+	"/opt/cuda/lib*/libcuda.so*",
+	"/usr/local/cuda/lib*/libcuda.so*",
+	"/usr/lib*/libcuda.so*",
+	"/usr/local/lib*/libcuda.so*",
+}
+
+var NvcudaWindowsGlobs = []string{
+	"c:\\windows\\system*\\nvcuda.dll",
+}
+
 // Jetson devices have JETSON_JETPACK="x.y.z" factory set to the Jetpack version installed.
 // Included to drive logic for reducing Ollama-allocated overhead on L4T/Jetson devices.
 var CudaTegra string = os.Getenv("JETSON_JETPACK")
@@ -74,6 +92,8 @@ func initGPUHandles() *handles {
 	gpuHandles := &handles{}
 	var cudartMgmtName string
 	var cudartMgmtPatterns []string
+	var nvcudaMgmtName string
+	var nvcudaMgmtPatterns []string
 
 	tmpDir, _ := PayloadsDir()
 	switch runtime.GOOS {
@@ -82,6 +102,9 @@ func initGPUHandles() *handles {
 		localAppData := os.Getenv("LOCALAPPDATA")
 		cudartMgmtPatterns = []string{filepath.Join(localAppData, "Programs", "Ollama", cudartMgmtName)}
 		cudartMgmtPatterns = append(cudartMgmtPatterns, CudartWindowsGlobs...)
+		// Aligned with driver, we can't carry as payloads
+		nvcudaMgmtName = "nvcuda.dll"
+		nvcudaMgmtPatterns = NvcudaWindowsGlobs
 	case "linux":
 		cudartMgmtName = "libcudart.so*"
 		if tmpDir != "" {
@@ -89,16 +112,30 @@ func initGPUHandles() *handles {
 			cudartMgmtPatterns = []string{filepath.Join(tmpDir, "cuda*", cudartMgmtName)}
 		}
 		cudartMgmtPatterns = append(cudartMgmtPatterns, CudartLinuxGlobs...)
+		// Aligned with driver, we can't carry as payloads
+		nvcudaMgmtName = "libcuda.so*"
+		nvcudaMgmtPatterns = NvcudaLinuxGlobs
 	default:
 		return gpuHandles
 	}
 
-	slog.Info("Detecting GPUs")
+	slog.Debug("Detecting GPUs")
+	nvcudaLibPaths := FindGPULibs(nvcudaMgmtName, nvcudaMgmtPatterns)
+	if len(nvcudaLibPaths) > 0 {
+		deviceCount, nvcuda, libPath := LoadNVCUDAMgmt(nvcudaLibPaths)
+		if nvcuda != nil {
+			slog.Debug("detected GPUs", "count", deviceCount, "library", libPath)
+			gpuHandles.nvcuda = nvcuda
+			gpuHandles.deviceCount = deviceCount
+			return gpuHandles
+		}
+	}
+
 	cudartLibPaths := FindGPULibs(cudartMgmtName, cudartMgmtPatterns)
 	if len(cudartLibPaths) > 0 {
 		deviceCount, cudart, libPath := LoadCUDARTMgmt(cudartLibPaths)
 		if cudart != nil {
-			slog.Info("detected GPUs", "library", libPath, "count", deviceCount)
+			slog.Debug("detected GPUs", "library", libPath, "count", deviceCount)
 			gpuHandles.cudart = cudart
 			gpuHandles.deviceCount = deviceCount
 			return gpuHandles
@@ -118,6 +155,9 @@ func GetGPUInfo() GpuInfoList {
 		if gpuHandles.cudart != nil {
 			C.cudart_release(*gpuHandles.cudart)
 		}
+		if gpuHandles.nvcuda != nil {
+			C.nvcuda_release(*gpuHandles.nvcuda)
+		}
 	}()
 
 	// All our GPU builds on x86 have AVX enabled, so fallback to CPU if we don't detect at least AVX
@@ -126,6 +166,12 @@ func GetGPUInfo() GpuInfoList {
 		slog.Warn("CPU does not have AVX or AVX2, disabling GPU support.")
 	}
 
+	// On windows we bundle the nvidia library one level above the runner dir
+	depPath := ""
+	if runtime.GOOS == "windows" && envconfig.RunnersDir != "" {
+		depPath = filepath.Dir(envconfig.RunnersDir)
+	}
+
 	var memInfo C.mem_info_t
 	resp := []GpuInfo{}
 
@@ -138,7 +184,15 @@ func GetGPUInfo() GpuInfoList {
 		gpuInfo := GpuInfo{
 			Library: "cuda",
 		}
-		C.cudart_check_vram(*gpuHandles.cudart, C.int(i), &memInfo)
+		var driverMajor int
+		var driverMinor int
+		if gpuHandles.cudart != nil {
+			C.cudart_check_vram(*gpuHandles.cudart, C.int(i), &memInfo)
+		} else {
+			C.nvcuda_check_vram(*gpuHandles.nvcuda, C.int(i), &memInfo)
+			driverMajor = int(gpuHandles.nvcuda.driver_major)
+			driverMinor = int(gpuHandles.nvcuda.driver_minor)
+		}
 		if memInfo.err != nil {
 			slog.Info("error looking up nvidia GPU memory", "error", C.GoString(memInfo.err))
 			C.free(unsafe.Pointer(memInfo.err))
@@ -151,9 +205,12 @@ func GetGPUInfo() GpuInfoList {
 		gpuInfo.TotalMemory = uint64(memInfo.total)
 		gpuInfo.FreeMemory = uint64(memInfo.free)
 		gpuInfo.ID = C.GoString(&memInfo.gpu_id[0])
-		gpuInfo.Major = int(memInfo.major)
-		gpuInfo.Minor = int(memInfo.minor)
+		gpuInfo.Compute = fmt.Sprintf("%d.%d", memInfo.major, memInfo.minor)
 		gpuInfo.MinimumMemory = cudaMinimumMemory
+		gpuInfo.DependencyPath = depPath
+		gpuInfo.Name = C.GoString(&memInfo.gpu_name[0])
+		gpuInfo.DriverMajor = int(driverMajor)
+		gpuInfo.DriverMinor = int(driverMinor)
 
 		// TODO potentially sort on our own algorithm instead of what the underlying GPU library does...
 		resp = append(resp, gpuInfo)
@@ -196,9 +253,10 @@ func GetCPUMem() (memInfo, error) {
 	return ret, nil
 }
 
-func FindGPULibs(baseLibName string, patterns []string) []string {
+func FindGPULibs(baseLibName string, defaultPatterns []string) []string {
 	// Multiple GPU libraries may exist, and some may not work, so keep trying until we exhaust them
 	var ldPaths []string
+	var patterns []string
 	gpuLibPaths := []string{}
 	slog.Debug("Searching for GPU library", "name", baseLibName)
 
@@ -218,8 +276,14 @@ func FindGPULibs(baseLibName string, patterns []string) []string {
 		}
 		patterns = append(patterns, filepath.Join(d, baseLibName+"*"))
 	}
+	patterns = append(patterns, defaultPatterns...)
 	slog.Debug("gpu library search", "globs", patterns)
 	for _, pattern := range patterns {
+
+		// Nvidia PhysX known to return bogus results
+		if strings.Contains(pattern, "PhysX") {
+			slog.Debug("skipping PhysX cuda library path", "path", pattern)
+		}
 		// Ignore glob discovery errors
 		matches, _ := filepath.Glob(pattern)
 		for _, match := range matches {
@@ -267,8 +331,25 @@ func LoadCUDARTMgmt(cudartLibPaths []string) (int, *C.cudart_handle_t, string) {
 	return 0, nil, ""
 }
 
+func LoadNVCUDAMgmt(nvcudaLibPaths []string) (int, *C.nvcuda_handle_t, string) {
+	var resp C.nvcuda_init_resp_t
+	resp.ch.verbose = getVerboseState()
+	for _, libPath := range nvcudaLibPaths {
+		lib := C.CString(libPath)
+		defer C.free(unsafe.Pointer(lib))
+		C.nvcuda_init(lib, &resp)
+		if resp.err != nil {
+			slog.Debug("Unable to load nvcuda", "library", libPath, "error", C.GoString(resp.err))
+			C.free(unsafe.Pointer(resp.err))
+		} else {
+			return int(resp.num_devices), &resp.ch, libPath
+		}
+	}
+	return 0, nil, ""
+}
+
 func getVerboseState() C.uint16_t {
-	if debug := os.Getenv("OLLAMA_DEBUG"); debug != "" {
+	if envconfig.Debug {
 		return C.uint16_t(1)
 	}
 	return C.uint16_t(0)

gpu/gpu_info.h

@@ -39,16 +39,19 @@ extern "C" {
 #endif
 
 #define GPU_ID_LEN 64
+#define GPU_NAME_LEN 96
 
 typedef struct mem_info {
   char *err;  // If non-nill, caller responsible for freeing
   char gpu_id[GPU_ID_LEN];
+  char gpu_name[GPU_NAME_LEN];
   uint64_t total;
   uint64_t free;
 
   // Compute Capability
   int major; 
   int minor;
+  int patch;
 } mem_info_t;
 
 void cpu_check_ram(mem_info_t *resp);
@@ -58,6 +61,7 @@ void cpu_check_ram(mem_info_t *resp);
 #endif
 
 #include "gpu_info_cudart.h"
+#include "gpu_info_nvcuda.h"
 
 #endif  // __GPU_INFO_H__
 #endif  // __APPLE__

gpu/gpu_info_cpu.c

@@ -10,8 +10,6 @@ void cpu_check_ram(mem_info_t *resp) {
   if (GlobalMemoryStatusEx(&info) != 0) {
     resp->total = info.ullTotalPhys;
     resp->free = info.ullAvailPhys;
-    resp->major = 0;
-    resp->minor = 0;
     snprintf(&resp->gpu_id[0], GPU_ID_LEN, "0");
   } else {
     resp->err = LOAD_ERR();
@@ -31,8 +29,6 @@ void cpu_check_ram(mem_info_t *resp) {
   } else {
     resp->total = info.totalram * info.mem_unit;
     resp->free = info.freeram * info.mem_unit;
-    resp->major = 0;
-    resp->minor = 0;
     snprintf(&resp->gpu_id[0], GPU_ID_LEN, "0");
   }
   return;

gpu/gpu_info_cudart.h

@@ -6,9 +6,9 @@
 // Just enough typedef's to dlopen/dlsym for memory information
 typedef enum cudartReturn_enum {
   CUDART_SUCCESS = 0,
-  CUDA_ERROR_INVALID_VALUE = 1,
-  CUDA_ERROR_MEMORY_ALLOCATION = 2,
-  CUDA_ERROR_INSUFFICIENT_DRIVER = 35,
+  CUDART_ERROR_INVALID_VALUE = 1,
+  CUDART_ERROR_MEMORY_ALLOCATION = 2,
+  CUDART_ERROR_INSUFFICIENT_DRIVER = 35,
   // Other values omitted for now...
 } cudartReturn_t;
 

gpu/gpu_info_nvcuda.c

@@ -0,0 +1,207 @@
+#ifndef __APPLE__  // TODO - maybe consider nvidia support on intel macs?
+
+#include <string.h>
+#include "gpu_info_nvcuda.h"
+
+void nvcuda_init(char *nvcuda_lib_path, nvcuda_init_resp_t *resp) {
+  CUresult ret;
+  resp->err = NULL;
+  resp->num_devices = 0;
+  const int buflen = 256;
+  char buf[buflen + 1];
+  int i;
+
+  struct lookup {
+    char *s;
+    void **p;
+  } l[] = {
+   
+      {"cuInit", (void *)&resp->ch.cuInit},
+      {"cuDriverGetVersion", (void *)&resp->ch.cuDriverGetVersion},
+      {"cuDeviceGetCount", (void *)&resp->ch.cuDeviceGetCount},
+      {"cuDeviceGet", (void *)&resp->ch.cuDeviceGet},
+      {"cuDeviceGetAttribute", (void *)&resp->ch.cuDeviceGetAttribute},
+      {"cuDeviceGetUuid", (void *)&resp->ch.cuDeviceGetUuid},
+      {"cuDeviceGetName", (void *)&resp->ch.cuDeviceGetName},
+      {"cuCtxCreate_v3", (void *)&resp->ch.cuCtxCreate_v3},
+      {"cuMemGetInfo_v2", (void *)&resp->ch.cuMemGetInfo_v2},
+      {"cuCtxDestroy", (void *)&resp->ch.cuCtxDestroy},
+      {NULL, NULL},
+  };
+
+  resp->ch.handle = LOAD_LIBRARY(nvcuda_lib_path, RTLD_LAZY);
+  if (!resp->ch.handle) {
+    char *msg = LOAD_ERR();
+    LOG(resp->ch.verbose, "library %s load err: %s\n", nvcuda_lib_path, msg);
+    snprintf(buf, buflen,
+            "Unable to load %s library to query for Nvidia GPUs: %s",
+            nvcuda_lib_path, msg);
+    free(msg);
+    resp->err = strdup(buf);
+    return;
+  }
+
+  for (i = 0; l[i].s != NULL; i++) {
+    *l[i].p = LOAD_SYMBOL(resp->ch.handle, l[i].s);
+    if (!*l[i].p) {
+      char *msg = LOAD_ERR();
+      LOG(resp->ch.verbose, "dlerr: %s\n", msg);
+      UNLOAD_LIBRARY(resp->ch.handle);
+      resp->ch.handle = NULL;
+      snprintf(buf, buflen, "symbol lookup for %s failed: %s", l[i].s,
+              msg);
+      free(msg);
+      resp->err = strdup(buf);
+      return;
+    }
+  }
+
+  ret = (*resp->ch.cuInit)(0);
+  if (ret != CUDA_SUCCESS) {
+    LOG(resp->ch.verbose, "cuInit err: %d\n", ret);
+    UNLOAD_LIBRARY(resp->ch.handle);
+    resp->ch.handle = NULL;
+    if (ret == CUDA_ERROR_INSUFFICIENT_DRIVER) {
+      resp->err = strdup("your nvidia driver is too old or missing.  If you have a CUDA GPU please upgrade to run ollama");
+      return;
+    }
+    snprintf(buf, buflen, "nvcuda init failure: %d", ret);
+    resp->err = strdup(buf);
+    return;
+  }
+
+  int version = 0;
+  resp->ch.driver_major = 0;
+  resp->ch.driver_minor = 0;
+
+  // Report driver version if we're in verbose mode, ignore errors
+  ret = (*resp->ch.cuDriverGetVersion)(&version);
+  if (ret != CUDA_SUCCESS) {
+    LOG(resp->ch.verbose, "cuDriverGetVersion failed: %d\n", ret);
+  } else {
+    resp->ch.driver_major = version / 1000;
+    resp->ch.driver_minor = (version - (resp->ch.driver_major * 1000)) / 10;
+    LOG(resp->ch.verbose, "CUDA driver version: %d.%d\n", resp->ch.driver_major, resp->ch.driver_minor);
+  }
+
+  ret = (*resp->ch.cuDeviceGetCount)(&resp->num_devices);
+  if (ret != CUDA_SUCCESS) {
+    LOG(resp->ch.verbose, "cuDeviceGetCount err: %d\n", ret);
+    UNLOAD_LIBRARY(resp->ch.handle);
+    resp->ch.handle = NULL;
+    snprintf(buf, buflen, "unable to get device count: %d", ret);
+    resp->err = strdup(buf);
+    return;
+  }
+}
+
+const int buflen = 256;
+void nvcuda_check_vram(nvcuda_handle_t h, int i, mem_info_t *resp) {
+  resp->err = NULL;
+  nvcudaMemory_t memInfo = {0,0};
+  CUresult ret;
+  CUdevice device = -1;
+  CUcontext ctx = NULL;
+  char buf[buflen + 1];
+  CUuuid uuid = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
+
+  if (h.handle == NULL) {
+    resp->err = strdup("nvcuda handle isn't initialized");
+    return;
+  }
+
+  ret = (*h.cuDeviceGet)(&device, i);
+  if (ret != CUDA_SUCCESS) {
+    snprintf(buf, buflen, "nvcuda device failed to initialize");
+    resp->err = strdup(buf);
+    return;
+  }
+
+  int major = 0;
+  int minor = 0;
+  ret = (*h.cuDeviceGetAttribute)(&major, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR, device);
+  if (ret != CUDA_SUCCESS) {
+    LOG(h.verbose, "[%d] device major lookup failure: %d\n", i, ret);
+  } else {
+    ret = (*h.cuDeviceGetAttribute)(&minor, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR, device);
+    if (ret != CUDA_SUCCESS) {
+      LOG(h.verbose, "[%d] device minor lookup failure: %d\n", i, ret);
+    } else {
+      resp->minor = minor;  
+      resp->major = major;  
+    }
+  }
+
+  ret = (*h.cuDeviceGetUuid)(&uuid, device);
+  if (ret != CUDA_SUCCESS) {
+    LOG(h.verbose, "[%d] device uuid lookup failure: %d\n", i, ret);
+    snprintf(&resp->gpu_id[0], GPU_ID_LEN, "%d", i);
+  } else {
+    // GPU-d110a105-ac29-1d54-7b49-9c90440f215b
+    snprintf(&resp->gpu_id[0], GPU_ID_LEN,
+        "GPU-%02x%02x%02x%02x-%02x%02x-%02x%02x-%02x%02x-%02x%02x%02x%02x%02x%02x",
+        uuid.bytes[0],
+        uuid.bytes[1],
+        uuid.bytes[2],
+        uuid.bytes[3],
+        uuid.bytes[4],
+        uuid.bytes[5],
+        uuid.bytes[6],
+        uuid.bytes[7],
+        uuid.bytes[8],
+        uuid.bytes[9],
+        uuid.bytes[10],
+        uuid.bytes[11],
+        uuid.bytes[12],
+        uuid.bytes[13],
+        uuid.bytes[14],
+        uuid.bytes[15]
+      );
+  }
+
+  ret = (*h.cuDeviceGetName)(&resp->gpu_name[0], GPU_NAME_LEN, device);
+  if (ret != CUDA_SUCCESS) {
+    LOG(h.verbose, "[%d] device name lookup failure: %d\n", i, ret);
+    resp->gpu_name[0] = '\0';
+  }
+
+  // To get memory we have to set (and release) a context
+  ret = (*h.cuCtxCreate_v3)(&ctx, NULL, 0, 0, device);
+  if (ret != CUDA_SUCCESS) {
+    snprintf(buf, buflen, "nvcuda failed to get primary device context %d", ret);
+    resp->err = strdup(buf);
+    return;
+  }
+
+  ret = (*h.cuMemGetInfo_v2)(&memInfo.free, &memInfo.total);
+  if (ret != CUDA_SUCCESS) {
+    snprintf(buf, buflen, "nvcuda device memory info lookup failure %d", ret);
+    resp->err = strdup(buf);
+    // Best effort on failure...
+    (*h.cuCtxDestroy)(ctx);
+    return;
+  }
+
+  resp->total = memInfo.total;
+  resp->free = memInfo.free;
+
+  LOG(h.verbose, "[%s] CUDA totalMem %lu mb\n", resp->gpu_id, resp->total / 1024 / 1024);
+  LOG(h.verbose, "[%s] CUDA freeMem %lu mb\n", resp->gpu_id, resp->free / 1024 / 1024);
+  LOG(h.verbose, "[%s] Compute Capability %d.%d\n", resp->gpu_id, resp->major, resp->minor);
+
+  
+
+  ret = (*h.cuCtxDestroy)(ctx);
+  if (ret != CUDA_SUCCESS) {
+    LOG(1, "nvcuda failed to release primary device context %d", ret);
+  }
+}
+
+void nvcuda_release(nvcuda_handle_t h) {
+  LOG(h.verbose, "releasing nvcuda library\n");
+  UNLOAD_LIBRARY(h.handle);
+  // TODO and other context release logic?
+  h.handle = NULL;
+}
+
+#endif  // __APPLE__

gpu/gpu_info_nvcuda.h

@@ -0,0 +1,74 @@
+#ifndef __APPLE__
+#ifndef __GPU_INFO_NVCUDA_H__
+#define __GPU_INFO_NVCUDA_H__
+#include "gpu_info.h"
+
+// Just enough typedef's to dlopen/dlsym for memory information
+typedef enum cudaError_enum {
+  CUDA_SUCCESS = 0,
+  CUDA_ERROR_INVALID_VALUE = 1,
+  CUDA_ERROR_MEMORY_ALLOCATION = 2,
+  CUDA_ERROR_NOT_INITIALIZED = 3,
+  CUDA_ERROR_INSUFFICIENT_DRIVER = 35,
+  // Other values omitted for now...
+} CUresult;
+
+typedef enum CUdevice_attribute_enum {
+  CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR = 75,
+  CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR = 76,
+
+  // TODO - not yet wired up but may be useful for Jetson or other
+  // integrated GPU scenarios with shared memory
+  CU_DEVICE_ATTRIBUTE_INTEGRATED = 18
+
+} CUdevice_attribute;
+
+typedef void *nvcudaDevice_t;  // Opaque is sufficient
+typedef struct nvcudaMemory_st {
+  uint64_t total;
+  uint64_t free;
+} nvcudaMemory_t;
+
+typedef struct nvcudaDriverVersion {
+  int major;
+  int minor;
+} nvcudaDriverVersion_t;
+
+typedef struct CUuuid_st {
+    unsigned char bytes[16];
+} CUuuid;
+
+typedef int CUdevice;
+typedef void* CUcontext;
+
+typedef struct nvcuda_handle {
+  void *handle;
+  uint16_t verbose;
+  int driver_major;
+  int driver_minor;
+  CUresult (*cuInit)(unsigned int Flags);
+  CUresult (*cuDriverGetVersion)(int *driverVersion);
+  CUresult (*cuDeviceGetCount)(int *);
+  CUresult (*cuDeviceGet)(CUdevice* device, int ordinal);
+  CUresult (*cuDeviceGetAttribute)(int* pi, CUdevice_attribute attrib, CUdevice dev);
+  CUresult (*cuDeviceGetUuid)(CUuuid* uuid, CUdevice dev); // signature compatible with cuDeviceGetUuid_v2
+  CUresult (*cuDeviceGetName)(char *name, int len, CUdevice dev);
+
+  // Context specific aspects
+  CUresult (*cuCtxCreate_v3)(CUcontext* pctx, void *params, int len, unsigned int flags, CUdevice dev);
+  CUresult (*cuMemGetInfo_v2)(uint64_t* free, uint64_t* total);
+  CUresult (*cuCtxDestroy)(CUcontext ctx);
+} nvcuda_handle_t;
+
+typedef struct nvcuda_init_resp {
+  char *err;  // If err is non-null handle is invalid
+  nvcuda_handle_t ch;
+  int num_devices;
+} nvcuda_init_resp_t;
+
+void nvcuda_init(char *nvcuda_lib_path, nvcuda_init_resp_t *resp);
+void nvcuda_check_vram(nvcuda_handle_t ch, int device_id, mem_info_t *resp);
+void nvcuda_release(nvcuda_handle_t ch);
+
+#endif  // __GPU_INFO_NVCUDA_H__
+#endif  // __APPLE__

gpu/types.go

@@ -1,5 +1,12 @@
 package gpu
 
+import (
+	"fmt"
+	"log/slog"
+
+	"github.com/ollama/ollama/format"
+)
+
 type memInfo struct {
 	TotalMemory uint64 `json:"total_memory,omitempty"`
 	FreeMemory  uint64 `json:"free_memory,omitempty"`
@@ -20,11 +27,13 @@ type GpuInfo struct {
 	DependencyPath string `json:"lib_path,omitempty"`
 
 	// GPU information
-	ID    string `json:"gpu_id"`          // string to use for selection of this specific GPU
-	Name  string `json:"name"`            // user friendly name if available
-	Major int    `json:"major,omitempty"` // Major compatibility version (CC or gfx)
-	Minor int    `json:"minor,omitempty"` // Minor compatibility version (CC or gfx)
-	Patch int    `json:"patch,omitempty"` // Patch compatibility only matters on AMD
+	ID      string `json:"gpu_id"`  // string to use for selection of this specific GPU
+	Name    string `json:"name"`    // user friendly name if available
+	Compute string `json:"compute"` // Compute Capability or gfx
+
+	// Driver Information - TODO no need to put this on each GPU
+	DriverMajor int `json:"driver_major,omitempty"`
+	DriverMinor int `json:"driver_minor,omitempty"`
 
 	// TODO other performance capability info to help in scheduling decisions
 }
@@ -56,6 +65,21 @@ func (l GpuInfoList) ByLibrary() []GpuInfoList {
 	return resp
 }
 
+// Report the GPU information into the log an Info level
+func (l GpuInfoList) LogDetails() {
+	for _, g := range l {
+		slog.Info("inference compute",
+			"id", g.ID,
+			"library", g.Library,
+			"compute", g.Compute,
+			"driver", fmt.Sprintf("%d.%d", g.DriverMajor, g.DriverMinor),
+			"name", g.Name,
+			"total", format.HumanBytes2(g.TotalMemory),
+			"available", format.HumanBytes2(g.FreeMemory),
+		)
+	}
+}
+
 // Sort by Free Space
 type ByFreeMemory []GpuInfo
 

integration/concurrency_test.go

@@ -217,7 +217,7 @@ func TestMultiModelStress(t *testing.T) {
 			defer wg.Done()
 			for j := 0; j < 3; j++ {
 				slog.Info("Starting", "req", i, "iter", j, "model", req[i].Model)
-				DoGenerate(ctx, t, client, req[i], resp[i], 90*time.Second, 5*time.Second)
+				DoGenerate(ctx, t, client, req[i], resp[i], 120*time.Second, 5*time.Second)
 			}
 		}(i)
 	}

integration/max_queue_test.go

@@ -0,0 +1,117 @@
+//go:build integration
+
+package integration
+
+import (
+	"context"
+	"errors"
+	"fmt"
+	"log/slog"
+	"os"
+	"strconv"
+	"strings"
+	"sync"
+	"testing"
+	"time"
+
+	"github.com/ollama/ollama/api"
+	"github.com/stretchr/testify/require"
+)
+
+func TestMaxQueue(t *testing.T) {
+	// Note: This test can be quite slow when running in CPU mode, so keep the threadCount low unless your on GPU
+	// Also note that by default Darwin can't sustain > ~128 connections without adjusting limits
+	threadCount := 32
+	mq := os.Getenv("OLLAMA_MAX_QUEUE")
+	if mq != "" {
+		var err error
+		threadCount, err = strconv.Atoi(mq)
+		require.NoError(t, err)
+	} else {
+		os.Setenv("OLLAMA_MAX_QUEUE", fmt.Sprintf("%d", threadCount))
+	}
+
+	req := api.GenerateRequest{
+		Model:  "orca-mini",
+		Prompt: "write a long historical fiction story about christopher columbus.  use at least 10 facts from his actual journey",
+		Options: map[string]interface{}{
+			"seed":        42,
+			"temperature": 0.0,
+		},
+	}
+	resp := []string{"explore", "discover", "ocean"}
+
+	// CPU mode takes much longer at the limit with a large queue setting
+	ctx, cancel := context.WithTimeout(context.Background(), 5*time.Minute)
+	defer cancel()
+	client, _, cleanup := InitServerConnection(ctx, t)
+	defer cleanup()
+
+	require.NoError(t, PullIfMissing(ctx, client, req.Model))
+
+	// Context for the worker threads so we can shut them down
+	// embedCtx, embedCancel := context.WithCancel(ctx)
+	embedCtx := ctx
+
+	var genwg sync.WaitGroup
+	go func() {
+		genwg.Add(1)
+		defer genwg.Done()
+		slog.Info("Starting generate request")
+		DoGenerate(ctx, t, client, req, resp, 45*time.Second, 5*time.Second)
+		slog.Info("generate completed")
+	}()
+
+	// Give the generate a chance to get started before we start hammering on embed requests
+	time.Sleep(5 * time.Millisecond)
+
+	threadCount += 10 // Add a few extra to ensure we push the queue past its limit
+	busyCount := 0
+	resetByPeerCount := 0
+	canceledCount := 0
+	succesCount := 0
+	counterMu := sync.Mutex{}
+	var embedwg sync.WaitGroup
+	for i := 0; i < threadCount; i++ {
+		go func(i int) {
+			embedwg.Add(1)
+			defer embedwg.Done()
+			slog.Info("embed started", "id", i)
+			embedReq := api.EmbeddingRequest{
+				Model:   req.Model,
+				Prompt:  req.Prompt,
+				Options: req.Options,
+			}
+			// Fresh client for every request
+			client, _ = GetTestEndpoint()
+
+			resp, genErr := client.Embeddings(embedCtx, &embedReq)
+			counterMu.Lock()
+			defer counterMu.Unlock()
+			switch {
+			case genErr == nil:
+				succesCount++
+				require.Greater(t, len(resp.Embedding), 5) // somewhat arbitrary, but sufficient to be reasonable
+			case errors.Is(genErr, context.Canceled):
+				canceledCount++
+			case strings.Contains(genErr.Error(), "busy"):
+				busyCount++
+			case strings.Contains(genErr.Error(), "connection reset by peer"):
+				resetByPeerCount++
+			default:
+				require.NoError(t, genErr, "%d request failed", i)
+			}
+
+			slog.Info("embed finished", "id", i)
+		}(i)
+	}
+	genwg.Wait()
+	slog.Info("generate done, waiting for embeds")
+	embedwg.Wait()
+
+	require.Equal(t, resetByPeerCount, 0, "Connections reset by peer, have you updated your fd and socket limits?")
+	require.True(t, busyCount > 0, "no requests hit busy error but some should have")
+	require.True(t, canceledCount == 0, "no requests should have been canceled due to timeout")
+
+	slog.Info("embeds completed", "success", succesCount, "busy", busyCount, "reset", resetByPeerCount, "canceled", canceledCount)
+}

integration/utils_test.go

@@ -85,7 +85,7 @@ func GetTestEndpoint() (*api.Client, string) {
 var serverMutex sync.Mutex
 var serverReady bool
 
-func startServer(ctx context.Context, ollamaHost string) error {
+func startServer(t *testing.T, ctx context.Context, ollamaHost string) error {
 	// Make sure the server has been built
 	CLIName, err := filepath.Abs("../ollama")
 	if err != nil {
@@ -107,7 +107,7 @@ func startServer(ctx context.Context, ollamaHost string) error {
 
 	if tmp := os.Getenv("OLLAMA_HOST"); tmp != ollamaHost {
 		slog.Info("setting env", "OLLAMA_HOST", ollamaHost)
-		os.Setenv("OLLAMA_HOST", ollamaHost)
+		t.Setenv("OLLAMA_HOST", ollamaHost)
 	}
 
 	slog.Info("starting server", "url", ollamaHost)
@@ -200,7 +200,7 @@ func InitServerConnection(ctx context.Context, t *testing.T) (*api.Client, strin
 		}
 		lifecycle.ServerLogFile = fp.Name()
 		fp.Close()
-		require.NoError(t, startServer(ctx, testEndpoint))
+		require.NoError(t, startServer(t, ctx, testEndpoint))
 	}
 
 	return client, testEndpoint, func() {

llm/ext_server/server.cpp

@@ -66,7 +66,7 @@ struct server_params {
 };
 
 bool server_verbose = false;
-bool server_log_json = true;
+bool server_log_json = false;
 
 enum stop_type {
     STOP_FULL,
@@ -266,7 +266,7 @@ struct server_slot {
         sprintf(buffer, "prompt eval time     = %10.2f ms / %5d tokens (%8.2f ms per token, %8.2f tokens per second)",
                 t_prompt_processing, n_prompt_tokens_processed,
                 t_token, n_tokens_second);
-        LOG_INFO(buffer, {
+        LOG_DEBUG(buffer, {
             {"slot_id",                   id},
             {"task_id",                   task_id},
             {"t_prompt_processing",       t_prompt_processing},
@@ -280,7 +280,7 @@ struct server_slot {
         sprintf(buffer, "generation eval time = %10.2f ms / %5d runs   (%8.2f ms per token, %8.2f tokens per second)",
                 t_token_generation, n_decoded,
                 t_token, n_tokens_second);
-        LOG_INFO(buffer, {
+        LOG_DEBUG(buffer, {
             {"slot_id",            id},
             {"task_id",            task_id},
             {"t_token_generation", t_token_generation},
@@ -290,7 +290,7 @@ struct server_slot {
         });
 
         sprintf(buffer, "          total time = %10.2f ms", t_prompt_processing + t_token_generation);
-        LOG_INFO(buffer, {
+        LOG_DEBUG(buffer, {
             {"slot_id",             id},
             {"task_id",             task_id},
             {"t_prompt_processing", t_prompt_processing},
@@ -371,7 +371,7 @@ struct llama_server_context
     {
         if (clp_ctx)
         {
-            LOG_INFO("freeing clip model", {});
+            LOG_DEBUG("freeing clip model", {});
             clip_free(clp_ctx);
             clp_ctx = nullptr;
         }
@@ -392,7 +392,7 @@ struct llama_server_context
         params = params_;
         if (!params.mmproj.empty()) {
             multimodal = true;
-            LOG_INFO("Multi Modal Mode Enabled", {});
+            LOG_DEBUG("Multi Modal Mode Enabled", {});
             clp_ctx = clip_model_load(params.mmproj.c_str(), /*verbosity=*/ 1);
             if(clp_ctx == nullptr) {
                 LOG_ERROR("unable to load clip model", {{"model", params.mmproj}});
@@ -445,7 +445,7 @@ struct llama_server_context
 
         const int32_t n_ctx_slot = n_ctx / params.n_parallel;
 
-        LOG_INFO("initializing slots", {{"n_slots", params.n_parallel}});
+        LOG_DEBUG("initializing slots", {{"n_slots", params.n_parallel}});
         for (int i = 0; i < params.n_parallel; i++)
         {
             server_slot slot;
@@ -454,7 +454,7 @@ struct llama_server_context
             slot.n_ctx = n_ctx_slot;
             slot.n_predict = params.n_predict;
 
-            LOG_INFO("new slot", {
+            LOG_DEBUG("new slot", {
                 {"slot_id",    slot.id},
                 {"n_ctx_slot", slot.n_ctx}
             });
@@ -468,7 +468,7 @@ struct llama_server_context
                 //GGML_ASSERT(n_ctx_train % ga_w == 0     && "n_ctx_train must be a multiple of ga_w");    // NOLINT
                 //GGML_ASSERT(n_ctx >= n_ctx_train * ga_n && "n_ctx must be at least n_ctx_train * ga_n"); // NOLINT
 
-                LOG_INFO("slot self-extend", {
+                LOG_DEBUG("slot self-extend", {
                     {"slot_id",   slot.id},
                     {"ga_n",      ga_n},
                     {"ga_w",      ga_w}
@@ -827,7 +827,7 @@ struct llama_server_context
 
         all_slots_are_idle = false;
 
-        LOG_INFO("slot is processing task", {
+        LOG_DEBUG("slot is processing task", {
             {"slot_id", slot->id},
             {"task_id", slot->task_id},
         });
@@ -1186,8 +1186,6 @@ struct llama_server_context
             {"model",               params.model_alias},
             {"tokens_predicted",    slot.n_decoded},
             {"tokens_evaluated",    slot.n_prompt_tokens},
-            {"generation_settings", get_formated_generation(slot)},
-            {"prompt",              slot.prompt},
             {"truncated",           slot.truncated},
             {"stopped_eos",         slot.stopped_eos},
             {"stopped_word",        slot.stopped_word},
@@ -1506,7 +1504,7 @@ struct llama_server_context
                     }
                     slots_data.push_back(slot_data);
                 }
-                LOG_INFO("slot data", {
+                LOG_DEBUG("slot data", {
                     {"task_id",            task.id},
                     {"n_idle_slots",       n_idle_slots},
                     {"n_processing_slots", n_processing_slots}
@@ -1568,7 +1566,7 @@ struct llama_server_context
     bool update_slots() {
         if (system_need_update)
         {
-            LOG_INFO("updating system prompt", {});
+            LOG_DEBUG("updating system prompt", {});
             system_prompt_update();
         }
 
@@ -1578,7 +1576,7 @@ struct llama_server_context
         {
             if (system_prompt.empty() && clean_kv_cache)
             {
-                LOG_INFO("all slots are idle and system prompt is empty, clear the KV cache", {});
+                LOG_DEBUG("all slots are idle and system prompt is empty, clear the KV cache", {});
                 kv_cache_clear();
             }
             return true;
@@ -1601,7 +1599,7 @@ struct llama_server_context
                     const int n_left    = (int) system_tokens.size() + slot.n_past - n_keep;
                     const int n_discard = n_left / 2;
 
-                    LOG_INFO("slot context shift", {
+                    LOG_DEBUG("slot context shift", {
                         {"slot_id",         slot.id},
                         {"task_id",         slot.task_id},
                         {"n_keep",          n_keep},
@@ -1640,7 +1638,7 @@ struct llama_server_context
                 slot.command = NONE;
                 slot.t_last_used = ggml_time_us();
 
-                LOG_INFO("slot released", {
+                LOG_DEBUG("slot released", {
                     {"slot_id",         slot.id},
                     {"task_id",         slot.task_id},
                     {"n_ctx",           n_ctx},
@@ -1809,7 +1807,7 @@ struct llama_server_context
                             slot.ga_i = ga_i;
                         }
 
-                        LOG_INFO("slot progression", {
+                        LOG_DEBUG("slot progression", {
                             { "slot_id",    slot.id },
                             { "task_id",    slot.task_id },
                             { "n_past",     slot.n_past },
@@ -1824,7 +1822,7 @@ struct llama_server_context
                     if (slot.n_past == slot.n_prompt_tokens && slot.n_past > 0)
                     {
                         // we have to evaluate at least 1 token to generate logits.
-                        LOG_INFO("we have to evaluate at least 1 token to generate logits", {
+                        LOG_DEBUG("we have to evaluate at least 1 token to generate logits", {
                             { "slot_id", slot.id },
                             { "task_id", slot.task_id }
                         });
@@ -1836,7 +1834,7 @@ struct llama_server_context
                     }
 
                     int p0 = (int) system_tokens.size() + slot.n_past;
-                    LOG_INFO("kv cache rm [p0, end)", {
+                    LOG_DEBUG("kv cache rm [p0, end)", {
                         { "slot_id", slot.id },
                         { "task_id", slot.task_id },
                         { "p0",      p0 }
@@ -2493,11 +2491,7 @@ static void server_params_parse(int argc, char **argv, server_params &sparams,
         }
         else if (arg == "-v" || arg == "--verbose")
         {
-#if SERVER_VERBOSE != 1
-            LOG_WARNING("server.cpp is not built with verbose logging.", {});
-#else
             server_verbose = true;
-#endif
         }
         else if (arg == "--mlock")
         {
@@ -2603,7 +2597,7 @@ static void server_params_parse(int argc, char **argv, server_params &sparams,
         else if (arg == "--log-disable")
         {
             log_set_target(stdout);
-            LOG_INFO("logging to file is disabled.", {});
+            LOG_DEBUG("logging to file is disabled.", {});
         }
         else if (arg == "--slots-endpoint-disable")
         {
@@ -2729,12 +2723,12 @@ static json format_detokenized_response(std::string content)
 static void log_server_request(const httplib::Request &req, const httplib::Response &res)
 {
     // skip GH copilot requests when using default port
-    if (req.path == "/v1/health" || req.path == "/v1/completions")
+    if (req.path == "/health" || req.path == "/v1/health" || req.path == "/v1/completions")
     {
         return;
     }
 
-    LOG_INFO("request", {
+    LOG_DEBUG("request", {
         {"remote_addr", req.remote_addr},
         {"remote_port", req.remote_port},
         {"status",      res.status},
@@ -3056,6 +3050,26 @@ int main(int argc, char **argv) {
         log_data["api_key"] = "api_key: " + std::to_string(sparams.api_keys.size()) + " keys loaded";
     }
 
+    if (sparams.n_threads_http < 1) {
+        // +2 threads for monitoring endpoints
+        sparams.n_threads_http = std::max(params.n_parallel + 2, (int32_t) std::thread::hardware_concurrency() - 1);
+    }
+    log_data["n_threads_http"] =  std::to_string(sparams.n_threads_http);
+    svr.new_task_queue = [&sparams] { return new httplib::ThreadPool(sparams.n_threads_http); };
+
+    LOG_INFO("HTTP server listening", log_data);
+    // run the HTTP server in a thread - see comment below
+    std::thread t([&]()
+            {
+                if (!svr.listen_after_bind())
+                {
+                    state.store(SERVER_STATE_ERROR);
+                    return 1;
+                }
+
+                return 0;
+            });
+
     // load the model
     if (!llama.load_model(params))
     {
@@ -3260,26 +3274,6 @@ int main(int argc, char **argv) {
     }*/
     //);
 
-    if (sparams.n_threads_http < 1) {
-        // +2 threads for monitoring endpoints
-        sparams.n_threads_http = std::max(params.n_parallel + 2, (int32_t) std::thread::hardware_concurrency() - 1);
-    }
-    log_data["n_threads_http"] =  std::to_string(sparams.n_threads_http);
-    svr.new_task_queue = [&sparams] { return new httplib::ThreadPool(sparams.n_threads_http); };
-
-    LOG_INFO("HTTP server listening", log_data);
-    // run the HTTP server in a thread - see comment below
-    std::thread t([&]()
-            {
-                if (!svr.listen_after_bind())
-                {
-                    state.store(SERVER_STATE_ERROR);
-                    return 1;
-                }
-
-                return 0;
-            });
-
     llama.queue_tasks.on_new_task(std::bind(
         &llama_server_context::process_single_task, &llama, std::placeholders::_1));
     llama.queue_tasks.on_finish_multitask(std::bind(

llm/ext_server/utils.hpp

@@ -55,9 +55,10 @@ extern bool server_log_json;
     } while (0)
 #endif
 
-#define LOG_ERROR(  MSG, ...) server_log("ERR",  __func__, __LINE__, MSG, __VA_ARGS__)
+#define LOG_ERROR(  MSG, ...) server_log("ERROR",  __func__, __LINE__, MSG, __VA_ARGS__)
 #define LOG_WARNING(MSG, ...) server_log("WARN", __func__, __LINE__, MSG, __VA_ARGS__)
 #define LOG_INFO(   MSG, ...) server_log("INFO", __func__, __LINE__, MSG, __VA_ARGS__)
+#define LOG_DEBUG(  MSG, ...) server_log("DEBUG", __func__, __LINE__, MSG, __VA_ARGS__)
 
 enum server_state {
     SERVER_STATE_LOADING_MODEL,  // Server is starting up, model not fully loaded yet
@@ -123,6 +124,10 @@ static inline void server_log(const char *level, const char *function, int line,
         {"timestamp", time(nullptr)},
     };
 
+    if (strncmp("DEBUG", level, strlen(level)) == 0 && !server_verbose) {
+        return;
+    }
+
     if (server_log_json) {
         log.merge_patch(
                 {
@@ -137,14 +142,12 @@ static inline void server_log(const char *level, const char *function, int line,
 
         std::cout << log.dump(-1, ' ', false, json::error_handler_t::replace) << "\n" << std::flush;
     } else {
-        char buf[1024];
-        snprintf(buf, 1024, "%4s [%24s] %s", level, function, message);
-
         if (!extra.empty()) {
             log.merge_patch(extra);
         }
+
         std::stringstream ss;
-        ss << buf << " |";
+        ss << level << " [" << function << "] " << message << " |";
         for (const auto& el : log.items())
         {
             const std::string value = el.value().dump(-1, ' ', false, json::error_handler_t::replace);

llm/filetype.go

@@ -0,0 +1,140 @@
+package llm
+
+import "fmt"
+
+type fileType uint32
+
+const (
+	fileTypeF32 fileType = iota
+	fileTypeF16
+	fileTypeQ4_0
+	fileTypeQ4_1
+	fileTypeQ4_1_F16
+	fileTypeQ4_2 // unused
+	fileTypeQ4_3 // unused
+	fileTypeQ8_0
+	fileTypeQ5_0
+	fileTypeQ5_1
+	fileTypeQ2_K
+	fileTypeQ3_K_S
+	fileTypeQ3_K_M
+	fileTypeQ3_K_L
+	fileTypeQ4_K_S
+	fileTypeQ4_K_M
+	fileTypeQ5_K_S
+	fileTypeQ5_K_M
+	fileTypeQ6_K
+	fileTypeIQ2_XXS
+	fileTypeIQ2_XS
+	fileTypeQ2_K_S
+	fileTypeQ3_K_XS
+	fileTypeIQ3_XXS
+
+	fileTypeUnknown
+)
+
+func ParseFileType(s string) (fileType, error) {
+	switch s {
+	case "F32":
+		return fileTypeF32, nil
+	case "F16":
+		return fileTypeF16, nil
+	case "Q4_0":
+		return fileTypeQ4_0, nil
+	case "Q4_1":
+		return fileTypeQ4_1, nil
+	case "Q4_1_F16":
+		return fileTypeQ4_1_F16, nil
+	case "Q8_0":
+		return fileTypeQ8_0, nil
+	case "Q5_0":
+		return fileTypeQ5_0, nil
+	case "Q5_1":
+		return fileTypeQ5_1, nil
+	case "Q2_K":
+		return fileTypeQ2_K, nil
+	case "Q3_K_S":
+		return fileTypeQ3_K_S, nil
+	case "Q3_K_M":
+		return fileTypeQ3_K_M, nil
+	case "Q3_K_L":
+		return fileTypeQ3_K_L, nil
+	case "Q4_K_S":
+		return fileTypeQ4_K_S, nil
+	case "Q4_K_M":
+		return fileTypeQ4_K_M, nil
+	case "Q5_K_S":
+		return fileTypeQ5_K_S, nil
+	case "Q5_K_M":
+		return fileTypeQ5_K_M, nil
+	case "Q6_K":
+		return fileTypeQ6_K, nil
+	case "IQ2_XXS":
+		return fileTypeIQ2_XXS, nil
+	case "IQ2_XS":
+		return fileTypeIQ2_XS, nil
+	case "Q2_K_S":
+		return fileTypeQ2_K_S, nil
+	case "Q3_K_XS":
+		return fileTypeQ3_K_XS, nil
+	case "IQ3_XXS":
+		return fileTypeIQ3_XXS, nil
+	default:
+		return fileTypeUnknown, fmt.Errorf("unknown fileType: %s", s)
+	}
+}
+
+func (t fileType) String() string {
+	switch t {
+	case fileTypeF32:
+		return "F32"
+	case fileTypeF16:
+		return "F16"
+	case fileTypeQ4_0:
+		return "Q4_0"
+	case fileTypeQ4_1:
+		return "Q4_1"
+	case fileTypeQ4_1_F16:
+		return "Q4_1_F16"
+	case fileTypeQ8_0:
+		return "Q8_0"
+	case fileTypeQ5_0:
+		return "Q5_0"
+	case fileTypeQ5_1:
+		return "Q5_1"
+	case fileTypeQ2_K:
+		return "Q2_K"
+	case fileTypeQ3_K_S:
+		return "Q3_K_S"
+	case fileTypeQ3_K_M:
+		return "Q3_K_M"
+	case fileTypeQ3_K_L:
+		return "Q3_K_L"
+	case fileTypeQ4_K_S:
+		return "Q4_K_S"
+	case fileTypeQ4_K_M:
+		return "Q4_K_M"
+	case fileTypeQ5_K_S:
+		return "Q5_K_S"
+	case fileTypeQ5_K_M:
+		return "Q5_K_M"
+	case fileTypeQ6_K:
+		return "Q6_K"
+	case fileTypeIQ2_XXS:
+		return "IQ2_XXS"
+	case fileTypeIQ2_XS:
+		return "IQ2_XS"
+	case fileTypeQ2_K_S:
+		return "Q2_K_S"
+	case fileTypeQ3_K_XS:
+		return "Q3_K_XS"
+	case fileTypeIQ3_XXS:
+		return "IQ3_XXS"
+	default:
+		return "unknown"
+	}
+}
+
+func (t fileType) Value() uint32 {
+	return uint32(t)
+}

llm/ggml.go

@@ -13,82 +13,6 @@ type GGML struct {
 	model
 }
 
-const (
-	fileTypeF32 uint32 = iota
-	fileTypeF16
-	fileTypeQ4_0
-	fileTypeQ4_1
-	fileTypeQ4_1_F16
-	fileTypeQ8_0 uint32 = iota + 2
-	fileTypeQ5_0
-	fileTypeQ5_1
-	fileTypeQ2_K
-	fileTypeQ3_K_S
-	fileTypeQ3_K_M
-	fileTypeQ3_K_L
-	fileTypeQ4_K_S
-	fileTypeQ4_K_M
-	fileTypeQ5_K_S
-	fileTypeQ5_K_M
-	fileTypeQ6_K
-	fileTypeIQ2_XXS
-	fileTypeIQ2_XS
-	fileTypeQ2_K_S
-	fileTypeQ3_K_XS
-	fileTypeIQ3_XXS
-)
-
-func fileType(fileType uint32) string {
-	switch fileType {
-	case fileTypeF32:
-		return "F32"
-	case fileTypeF16:
-		return "F16"
-	case fileTypeQ4_0:
-		return "Q4_0"
-	case fileTypeQ4_1:
-		return "Q4_1"
-	case fileTypeQ4_1_F16:
-		return "Q4_1_F16"
-	case fileTypeQ8_0:
-		return "Q8_0"
-	case fileTypeQ5_0:
-		return "Q5_0"
-	case fileTypeQ5_1:
-		return "Q5_1"
-	case fileTypeQ2_K:
-		return "Q2_K"
-	case fileTypeQ3_K_S:
-		return "Q3_K_S"
-	case fileTypeQ3_K_M:
-		return "Q3_K_M"
-	case fileTypeQ3_K_L:
-		return "Q3_K_L"
-	case fileTypeQ4_K_S:
-		return "Q4_K_S"
-	case fileTypeQ4_K_M:
-		return "Q4_K_M"
-	case fileTypeQ5_K_S:
-		return "Q5_K_S"
-	case fileTypeQ5_K_M:
-		return "Q5_K_M"
-	case fileTypeQ6_K:
-		return "Q6_K"
-	case fileTypeIQ2_XXS:
-		return "IQ2_XXS"
-	case fileTypeIQ2_XS:
-		return "IQ2_XS"
-	case fileTypeQ2_K_S:
-		return "Q2_K_S"
-	case fileTypeQ3_K_XS:
-		return "Q3_K_XS"
-	case fileTypeIQ3_XXS:
-		return "IQ3_XXS"
-	default:
-		return "unknown"
-	}
-}
-
 type model interface {
 	KV() KV
 	Tensors() Tensors
@@ -121,12 +45,12 @@ func (kv KV) ParameterCount() uint64 {
 	return kv.u64("general.parameter_count")
 }
 
-func (kv KV) FileType() string {
+func (kv KV) FileType() fileType {
 	if u64 := kv.u64("general.file_type"); u64 > 0 {
 		return fileType(uint32(u64))
 	}
 
-	return "unknown"
+	return fileTypeUnknown
 }
 
 func (kv KV) BlockCount() uint64 {
@@ -286,6 +210,23 @@ const (
 
 var ErrUnsupportedFormat = errors.New("unsupported model format")
 
+func DetectGGMLType(b []byte) string {
+	switch binary.LittleEndian.Uint32(b[:4]) {
+	case FILE_MAGIC_GGML:
+		return "ggml"
+	case FILE_MAGIC_GGMF:
+		return "ggmf"
+	case FILE_MAGIC_GGJT:
+		return "ggjt"
+	case FILE_MAGIC_GGLA:
+		return "ggla"
+	case FILE_MAGIC_GGUF_LE, FILE_MAGIC_GGUF_BE:
+		return "gguf"
+	default:
+		return ""
+	}
+}
+
 func DecodeGGML(rs io.ReadSeeker) (*GGML, int64, error) {
 	var magic uint32
 	if err := binary.Read(rs, binary.LittleEndian, &magic); err != nil {
@@ -388,7 +329,10 @@ func (llm GGML) GraphSize(context, batch uint64) (partialOffload, fullOffload ui
 			4*batch*(1+4*embedding+context+context*heads),
 		)
 
-		partialOffload = 4*batch*(2*embedding+vocab) + embedding*vocab*105/128
+		partialOffload = max(
+			4*batch*(2*embedding+vocab)+embedding*vocab*105/128,
+			4*batch*(2+3*embedding+context+context*heads),
+		)
 	case "stablelm":
 		fullOffload = 4 * batch * (context*(1+heads) + 3*embedding + 2)
 		partialOffload = max(

llm/llm.go

@@ -20,7 +20,7 @@ func SystemInfo() string {
 	return C.GoString(C.llama_print_system_info())
 }
 
-func Quantize(infile, outfile, filetype string) error {
+func Quantize(infile, outfile string, ftype fileType) error {
 	cinfile := C.CString(infile)
 	defer C.free(unsafe.Pointer(cinfile))
 
@@ -29,58 +29,10 @@ func Quantize(infile, outfile, filetype string) error {
 
 	params := C.llama_model_quantize_default_params()
 	params.nthread = -1
+	params.ftype = ftype.Value()
 
-	switch filetype {
-	case "F32":
-		params.ftype = fileTypeF32
-	case "F16":
-		params.ftype = fileTypeF16
-	case "Q4_0":
-		params.ftype = fileTypeQ4_0
-	case "Q4_1":
-		params.ftype = fileTypeQ4_1
-	case "Q4_1_F16":
-		params.ftype = fileTypeQ4_1_F16
-	case "Q8_0":
-		params.ftype = fileTypeQ8_0
-	case "Q5_0":
-		params.ftype = fileTypeQ5_0
-	case "Q5_1":
-		params.ftype = fileTypeQ5_1
-	case "Q2_K":
-		params.ftype = fileTypeQ2_K
-	case "Q3_K_S":
-		params.ftype = fileTypeQ3_K_S
-	case "Q3_K_M":
-		params.ftype = fileTypeQ3_K_M
-	case "Q3_K_L":
-		params.ftype = fileTypeQ3_K_L
-	case "Q4_K_S":
-		params.ftype = fileTypeQ4_K_S
-	case "Q4_K_M":
-		params.ftype = fileTypeQ4_K_M
-	case "Q5_K_S":
-		params.ftype = fileTypeQ5_K_S
-	case "Q5_K_M":
-		params.ftype = fileTypeQ5_K_M
-	case "Q6_K":
-		params.ftype = fileTypeQ6_K
-	case "IQ2_XXS":
-		params.ftype = fileTypeIQ2_XXS
-	case "IQ2_XS":
-		params.ftype = fileTypeIQ2_XS
-	case "Q2_K_S":
-		params.ftype = fileTypeQ2_K_S
-	case "Q3_K_XS":
-		params.ftype = fileTypeQ3_K_XS
-	case "IQ3_XXS":
-		params.ftype = fileTypeIQ3_XXS
-	default:
-		return fmt.Errorf("unknown filetype: %s", filetype)
-	}
-
-	if retval := C.llama_model_quantize(cinfile, coutfile, &params); retval != 0 {
-		return fmt.Errorf("llama_model_quantize: %d", retval)
+	if rc := C.llama_model_quantize(cinfile, coutfile, &params); rc != 0 {
+		return fmt.Errorf("llama_model_quantize: %d", rc)
 	}
 
 	return nil

llm/memory.go

@@ -3,30 +3,20 @@ package llm
 import (
 	"fmt"
 	"log/slog"
-	"os"
-	"strconv"
 
 	"github.com/ollama/ollama/api"
 	"github.com/ollama/ollama/format"
 	"github.com/ollama/ollama/gpu"
+	"github.com/ollama/ollama/server/envconfig"
 )
 
 // This algorithm looks for a complete fit to determine if we need to unload other models
 func PredictServerFit(allGpus gpu.GpuInfoList, ggml *GGML, adapters, projectors []string, opts api.Options) (bool, uint64) {
-	var estimatedVRAM uint64
-	if opts.NumCtx > int(ggml.KV().ContextLength()) {
-		slog.Warn("requested context length is greater than model max context length", "requested", opts.NumCtx, "model", ggml.KV().ContextLength())
-		opts.NumCtx = int(ggml.KV().ContextLength())
-	}
-
-	if opts.NumCtx < 4 {
-		opts.NumCtx = 4
-	}
-
 	// Split up the GPUs by type and try them
+	var estimatedVRAM uint64
 	for _, gpus := range allGpus.ByLibrary() {
 		var layerCount int
-		layerCount, estimatedVRAM = EstimateGPULayers(gpus, ggml, projectors, opts)
+		layerCount, estimatedVRAM, _ = EstimateGPULayers(gpus, ggml, projectors, opts)
 		if opts.NumGPU < 0 {
 			if layerCount > 0 && layerCount >= int(ggml.KV().BlockCount()+1) {
 				return true, estimatedVRAM
@@ -40,25 +30,15 @@ func PredictServerFit(allGpus gpu.GpuInfoList, ggml *GGML, adapters, projectors
 	return false, estimatedVRAM
 }
 
-// Given a model and one or more GPU targets, predict how many layers and bytes we can load
+// Given a model and one or more GPU targets, predict how many layers and bytes we can load, and the total size
 // The GPUs provided must all be the same Library
-func EstimateGPULayers(gpus []gpu.GpuInfo, ggml *GGML, projectors []string, opts api.Options) (int, uint64) {
-	if gpus[0].Library == "cpu" {
-		return 0, 0
-	}
+func EstimateGPULayers(gpus []gpu.GpuInfo, ggml *GGML, projectors []string, opts api.Options) (int, uint64, uint64) {
 	var memoryAvailable uint64
 	for _, info := range gpus {
 		memoryAvailable += info.FreeMemory
 	}
-	userLimit := os.Getenv("OLLAMA_MAX_VRAM")
-	if userLimit != "" {
-		avail, err := strconv.ParseUint(userLimit, 10, 64)
-		if err != nil {
-			slog.Error("invalid setting, ignoring", "OLLAMA_MAX_VRAM", userLimit, "error", err)
-		} else {
-			slog.Info("user override memory limit", "OLLAMA_MAX_VRAM", avail, "actual", memoryAvailable)
-			memoryAvailable = avail
-		}
+	if envconfig.MaxVRAM > 0 {
+		memoryAvailable = envconfig.MaxVRAM
 	}
 
 	slog.Debug("evaluating", "library", gpus[0].Library, "gpu_count", len(gpus), "available", format.HumanBytes2(memoryAvailable))
@@ -93,18 +73,13 @@ func EstimateGPULayers(gpus []gpu.GpuInfo, ggml *GGML, projectors []string, opts
 		graphPartialOffload = graphFullOffload
 	}
 
+	layers := ggml.Tensors().Layers()
+
 	// memoryRequiredTotal represents the memory required for full GPU offloading (all layers)
-	memoryRequiredTotal := memoryMinimum + graphFullOffload
+	memoryRequiredTotal := memoryMinimum + graphFullOffload + layers["blk.0"].size()
 
 	// memoryRequiredPartial represents the memory required for partial GPU offloading (n > 0, n < layers)
-	memoryRequiredPartial := memoryMinimum + graphPartialOffload
-
-	if memoryRequiredPartial > memoryAvailable {
-		slog.Debug("insufficient VRAM to load any model layers")
-		return 0, 0
-	}
-
-	layers := ggml.Tensors().Layers()
+	memoryRequiredPartial := memoryMinimum + graphPartialOffload + layers["blk.0"].size()
 
 	var memoryLayerOutput uint64
 	if layer, ok := layers["output_norm"]; ok {
@@ -189,5 +164,13 @@ func EstimateGPULayers(gpus []gpu.GpuInfo, ggml *GGML, projectors []string, opts
 			),
 		),
 	)
-	return layerCount, uint64(memoryRequiredPartial)
+	if gpus[0].Library == "cpu" {
+		return 0, 0, memoryRequiredTotal
+	}
+	if memoryRequiredPartial > memoryAvailable {
+		slog.Debug("insufficient VRAM to load any model layers")
+		return 0, 0, memoryRequiredTotal
+	}
+
+	return layerCount, memoryRequiredPartial, memoryRequiredTotal
 }

llm/patches/05-clip-fix.diff

@@ -0,0 +1,24 @@
+diff --git a/examples/llava/clip.cpp b/examples/llava/clip.cpp
+index e3c9bcd4..b43f892d 100644
+--- a/examples/llava/clip.cpp
++++ b/examples/llava/clip.cpp
+@@ -573,14 +573,16 @@ static ggml_cgraph * clip_image_build_graph(clip_ctx * ctx, const clip_image_f32
+     struct ggml_tensor * embeddings = inp;
+     if (ctx->has_class_embedding) {
+         embeddings = ggml_new_tensor_3d(ctx0, GGML_TYPE_F32, hidden_size, num_positions, batch_size);
++    }
++    ggml_set_name(embeddings, "embeddings");
++    ggml_set_input(embeddings);
++
++    if (ctx->has_class_embedding) {
+         embeddings = ggml_acc(ctx0, embeddings, model.class_embedding,
+                 embeddings->nb[1], embeddings->nb[2], embeddings->nb[3], 0);
+         embeddings = ggml_acc(ctx0, embeddings, inp,
+                 embeddings->nb[1], embeddings->nb[2], embeddings->nb[3], model.class_embedding->nb[1]);
+     }
+-    ggml_set_name(embeddings, "embeddings");
+-    ggml_set_input(embeddings);
+-
+ 
+     struct ggml_tensor * positions = ggml_new_tensor_1d(ctx0, GGML_TYPE_I32, num_positions);
+     ggml_set_name(positions, "positions");

llm/server.go

@@ -26,6 +26,7 @@ import (
 	"github.com/ollama/ollama/api"
 	"github.com/ollama/ollama/format"
 	"github.com/ollama/ollama/gpu"
+	"github.com/ollama/ollama/server/envconfig"
 )
 
 type LlamaServer interface {
@@ -48,7 +49,11 @@ type llmServer struct {
 	options api.Options
 
 	// TODO - this should be broken down by GPU
-	estimatedVRAM uint64 // Estimated usage of VRAM by the loaded model
+	estimatedVRAM  uint64 // Estimated usage of VRAM by the loaded model
+	estimatedTotal uint64 // Total size of model
+	totalLayers    uint64
+	gpuCount       int
+	loadDuration   time.Duration // Record how long it took the model to load
 
 	sem *semaphore.Weighted
 }
@@ -72,22 +77,17 @@ func LoadModel(model string) (*GGML, error) {
 // The gpu list must be a single family.
 func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, projectors []string, opts api.Options) (LlamaServer, error) {
 	var err error
-	if opts.NumCtx > int(ggml.KV().ContextLength()) {
-		slog.Warn("requested context length is greater than the model's training context window size", "requested", opts.NumCtx, "training size", ggml.KV().ContextLength())
-	}
-
-	if opts.NumCtx < 4 {
-		opts.NumCtx = 4
-	}
-
-	cpuRunner := ""
+	var cpuRunner string
 	var estimatedVRAM uint64
+	var estimatedTotal uint64
 	var systemMemory uint64
+	gpuCount := len(gpus)
 	if (len(gpus) == 1 && gpus[0].Library == "cpu") || opts.NumGPU == 0 {
 
 		// TODO evaluate system memory to see if we should block the load, or force an unload of another CPU runner
 
 		cpuRunner = serverForCpu()
+		gpuCount = 0
 	} else {
 		if gpus[0].Library == "metal" {
 			memInfo, err := gpu.GetCPUMem()
@@ -99,12 +99,16 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
 			}
 		}
 		var layers int
-		layers, estimatedVRAM = EstimateGPULayers(gpus, ggml, projectors, opts)
+		layers, estimatedVRAM, estimatedTotal = EstimateGPULayers(gpus, ggml, projectors, opts)
 
 		if gpus[0].Library == "metal" && estimatedVRAM > systemMemory {
 			// disable partial offloading when model is greater than total system memory as this
 			// can lead to locking up the system
 			opts.NumGPU = 0
+		} else if gpus[0].Library != "metal" && layers == 0 {
+			// Don't bother loading into the GPU if no layers can fit
+			cpuRunner = serverForCpu()
+			gpuCount = 0
 		} else if opts.NumGPU < 0 && layers > 0 && gpus[0].Library != "cpu" {
 			opts.NumGPU = layers
 		}
@@ -124,7 +128,7 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
 	} else {
 		servers = serversForGpu(gpus[0]) // All GPUs in the list are matching Library and Variant
 	}
-	demandLib := strings.Trim(os.Getenv("OLLAMA_LLM_LIBRARY"), "\"' ")
+	demandLib := envconfig.LLMLibrary
 	if demandLib != "" {
 		serverPath := availableServers[demandLib]
 		if serverPath == "" {
@@ -132,6 +136,10 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
 		} else {
 			slog.Info("user override", "OLLAMA_LLM_LIBRARY", demandLib, "path", serverPath)
 			servers = []string{demandLib}
+			if strings.HasPrefix(demandLib, "cpu") {
+				// Omit the GPU flag to silence the warning
+				opts.NumGPU = -1
+			}
 		}
 	}
 
@@ -145,17 +153,14 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
 		"--batch-size", fmt.Sprintf("%d", opts.NumBatch),
 		"--embedding",
 	}
-	if debug := os.Getenv("OLLAMA_DEBUG"); debug != "" {
-		params = append(params, "--log-format", "json")
-	} else {
-		params = append(params, "--log-disable")
-	}
+
+	params = append(params, "--log-disable")
 
 	if opts.NumGPU >= 0 {
 		params = append(params, "--n-gpu-layers", fmt.Sprintf("%d", opts.NumGPU))
 	}
 
-	if debug := os.Getenv("OLLAMA_DEBUG"); debug != "" {
+	if envconfig.Debug {
 		params = append(params, "--verbose")
 	}
 
@@ -193,16 +198,15 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
 		params = append(params, "--numa")
 	}
 
-	// "--cont-batching", // TODO - doesn't seem to have any noticeable perf change for multiple requests
-	numParallel := 1
-	if onp := os.Getenv("OLLAMA_NUM_PARALLEL"); onp != "" {
-		numParallel, err = strconv.Atoi(onp)
-		if err != nil || numParallel <= 0 {
-			err = fmt.Errorf("invalid OLLAMA_NUM_PARALLEL=%s must be greater than zero - %w", onp, err)
-			slog.Error("misconfiguration", "error", err)
-			return nil, err
-		}
+	numParallel := envconfig.NumParallel
+
+	// TODO (jmorganca): multimodal models don't support parallel yet
+	// see https://github.com/ollama/ollama/issues/4165
+	if len(projectors) > 0 {
+		numParallel = 1
+		slog.Warn("multimodal models don't support parallel requests yet")
 	}
+
 	params = append(params, "--parallel", fmt.Sprintf("%d", numParallel))
 
 	for i := 0; i < len(servers); i++ {
@@ -210,10 +214,15 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
 		if dir == "" {
 			// Shouldn't happen
 			finalErr = fmt.Errorf("[%d] server %s not listed in available servers %v", i, servers[i], availableServers)
-			slog.Error("sever list inconsistent", "error", finalErr)
+			slog.Error("server list inconsistent", "error", finalErr)
 			continue
 		}
 
+		if strings.HasPrefix(servers[i], "cpu") {
+			// TODO if we tried a gpu runner first, and it failed, record the error and bubble that back up
+			gpuCount = 0
+		}
+
 		// Find an availableServers  port, retry on each iterration in case the failure was a port conflict race
 		port := 0
 		if a, err := net.ResolveTCPAddr("tcp", "localhost:0"); err == nil {
@@ -233,13 +242,13 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
 		if runtime.GOOS == "windows" {
 			pathEnv = "PATH"
 		}
-		// append the server directory to LD_LIBRARY_PATH/PATH
+		// prepend the server directory to LD_LIBRARY_PATH/PATH
 		libraryPaths := []string{dir}
 
 		if libraryPath, ok := os.LookupEnv(pathEnv); ok {
 			// Append our runner directory to the path
 			// This will favor system libraries over our bundled library dependencies
-			libraryPaths = append(filepath.SplitList(libraryPath), libraryPaths...)
+			libraryPaths = append(libraryPaths, filepath.SplitList(libraryPath)...)
 		}
 
 		// Note: we always put the dependency path first
@@ -267,23 +276,43 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
 		}
 
 		s := &llmServer{
-			port:          port,
-			cmd:           exec.Command(server, finalParams...),
-			status:        NewStatusWriter(os.Stderr),
-			options:       opts,
-			estimatedVRAM: estimatedVRAM,
-			sem:           semaphore.NewWeighted(int64(numParallel)),
+			port:           port,
+			cmd:            exec.Command(server, finalParams...),
+			status:         NewStatusWriter(os.Stderr),
+			options:        opts,
+			estimatedVRAM:  estimatedVRAM,
+			estimatedTotal: estimatedTotal,
+			sem:            semaphore.NewWeighted(int64(numParallel)),
+			totalLayers:    ggml.KV().BlockCount() + 1,
+			gpuCount:       gpuCount,
+			done:           make(chan error, 1),
 		}
 
-		libEnv := fmt.Sprintf("%s=%s", pathEnv, strings.Join(libraryPaths, string(filepath.ListSeparator)))
-		s.cmd.Env = append(os.Environ(), libEnv)
+		s.cmd.Env = os.Environ()
 		s.cmd.Stdout = os.Stdout
 		s.cmd.Stderr = s.status
 
-		// TODO - multiple GPU selection logic...
-		key, val := gpu.GpuInfoList(gpus).GetVisibleDevicesEnv()
-		if key != "" {
-			s.cmd.Env = append(s.cmd.Env, key+"="+val)
+		visibleDevicesEnv, visibleDevicesEnvVal := gpu.GpuInfoList(gpus).GetVisibleDevicesEnv()
+		pathEnvVal := strings.Join(libraryPaths, string(filepath.ListSeparator))
+
+		// Update or add the path and visible devices variable with our adjusted version
+		pathNeeded := true
+		devicesNeeded := visibleDevicesEnv != ""
+		for i := range s.cmd.Env {
+			cmp := strings.SplitN(s.cmd.Env[i], "=", 2)
+			if strings.EqualFold(cmp[0], pathEnv) {
+				s.cmd.Env[i] = pathEnv + "=" + pathEnvVal
+				pathNeeded = false
+			} else if devicesNeeded && strings.EqualFold(cmp[0], visibleDevicesEnv) {
+				s.cmd.Env[i] = visibleDevicesEnv + "=" + visibleDevicesEnvVal
+				devicesNeeded = false
+			}
+		}
+		if pathNeeded {
+			s.cmd.Env = append(s.cmd.Env, pathEnv+"="+pathEnvVal)
+		}
+		if devicesNeeded {
+			s.cmd.Env = append(s.cmd.Env, visibleDevicesEnv+"="+visibleDevicesEnvVal)
 		}
 
 		slog.Info("starting llama server", "cmd", s.cmd.String())
@@ -291,6 +320,11 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
 		slog.Debug("subprocess", "environment", s.cmd.Env)
 
 		if err = s.cmd.Start(); err != nil {
+			// Detect permission denied and augment them essage about noexec
+			if errors.Is(err, os.ErrPermission) {
+				finalErr = fmt.Errorf("unable to start server %w.  %s may have noexec set.  Set OLLAMA_TMPDIR for server to a writable executable directory", err, dir)
+				continue
+			}
 			msg := ""
 			if s.status != nil && s.status.LastErrMsg != "" {
 				msg = s.status.LastErrMsg
@@ -300,13 +334,11 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
 			continue
 		}
 
-		// TODO - make sure this is all wired up correctly
-		// if err = s.WaitUntilRunning(); err != nil {
-		// 	slog.Error("error starting llama server", "server", servers[i], "error", err)
-		// 	s.Close()
-		// 	finalErr = err
-		// 	continue
-		// }
+		// reap subprocess when it exits
+		go func() {
+			s.done <- s.cmd.Wait()
+		}()
+
 		return s, nil
 	}
 
@@ -338,7 +370,7 @@ type ServerStatus int
 
 const ( // iota is reset to 0
 	ServerStatusReady ServerStatus = iota
-	ServerStatusNoSlotsAvaialble
+	ServerStatusNoSlotsAvailable
 	ServerStatusLoadingModel
 	ServerStatusNotResponding
 	ServerStatusError
@@ -348,7 +380,7 @@ func (s ServerStatus) ToString() string {
 	switch s {
 	case ServerStatusReady:
 		return "llm server ready"
-	case ServerStatusNoSlotsAvaialble:
+	case ServerStatusNoSlotsAvailable:
 		return "llm busy - no slots available"
 	case ServerStatusLoadingModel:
 		return "llm server loading model"
@@ -373,6 +405,10 @@ func (s *llmServer) getServerStatus(ctx context.Context) (ServerStatus, error) {
 		if s.status != nil && s.status.LastErrMsg != "" {
 			msg = s.status.LastErrMsg
 		}
+		if s.cmd.ProcessState.ExitCode() == -1 {
+			// Most likely a signal killed it, log some more details to try to help troubleshoot
+			slog.Warn("llama runner process no longer running", "sys", s.cmd.ProcessState.Sys(), "string", s.cmd.ProcessState.String())
+		}
 		return ServerStatusError, fmt.Errorf("llama runner process no longer running: %d %s", s.cmd.ProcessState.ExitCode(), msg)
 	}
 
@@ -405,7 +441,7 @@ func (s *llmServer) getServerStatus(ctx context.Context) (ServerStatus, error) {
 	case "ok":
 		return ServerStatusReady, nil
 	case "no slot available":
-		return ServerStatusNoSlotsAvaialble, nil
+		return ServerStatusNoSlotsAvailable, nil
 	case "loading model":
 		return ServerStatusLoadingModel, nil
 	default:
@@ -413,6 +449,29 @@ func (s *llmServer) getServerStatus(ctx context.Context) (ServerStatus, error) {
 	}
 }
 
+// getServerStatusRetry will retry if ServerStatusNoSlotsAvailable is received
+func (s *llmServer) getServerStatusRetry(ctx context.Context) (ServerStatus, error) {
+	var retries int
+	for {
+		status, err := s.getServerStatus(ctx)
+		if err != nil {
+			return status, err
+		}
+
+		if status == ServerStatusNoSlotsAvailable {
+			if retries >= 10 {
+				return status, fmt.Errorf("no slots available after %d retries", retries)
+			}
+
+			time.Sleep(5 * time.Millisecond)
+			retries++
+			continue
+		}
+
+		return status, nil
+	}
+}
+
 func (s *llmServer) Ping(ctx context.Context) error {
 	_, err := s.getServerStatus(ctx)
 	if err != nil {
@@ -424,13 +483,11 @@ func (s *llmServer) Ping(ctx context.Context) error {
 
 func (s *llmServer) WaitUntilRunning(ctx context.Context) error {
 	start := time.Now()
-	// TODO we need to wire up a better way to detect hangs during model load and startup of the server
 	expiresAt := time.Now().Add(10 * time.Minute) // be generous with timeout, large models can take a while to load
-	ticker := time.NewTicker(50 * time.Millisecond)
-	defer ticker.Stop()
 
 	slog.Info("waiting for llama runner to start responding")
 	var lastStatus ServerStatus = -1
+
 	for {
 		select {
 		case <-ctx.Done():
@@ -442,41 +499,39 @@ func (s *llmServer) WaitUntilRunning(ctx context.Context) error {
 				msg = s.status.LastErrMsg
 			}
 			return fmt.Errorf("llama runner process has terminated: %v %s", err, msg)
-		case <-ticker.C:
-			if time.Now().After(expiresAt) {
-				// timeout
-				msg := ""
-				if s.status != nil && s.status.LastErrMsg != "" {
-					msg = s.status.LastErrMsg
-				}
-				return fmt.Errorf("timed out waiting for llama runner to start: %s", msg)
+		default:
+		}
+		if time.Now().After(expiresAt) {
+			// timeout
+			msg := ""
+			if s.status != nil && s.status.LastErrMsg != "" {
+				msg = s.status.LastErrMsg
 			}
-			if s.cmd.ProcessState != nil {
-				msg := ""
-				if s.status != nil && s.status.LastErrMsg != "" {
-					msg = s.status.LastErrMsg
-				}
-				return fmt.Errorf("llama runner process no longer running: %d %s", s.cmd.ProcessState.ExitCode(), msg)
-			}
-
-			c, cancel := context.WithTimeout(ctx, 200*time.Millisecond)
-			defer cancel()
-			status, err := s.getServerStatus(c)
-			if err != nil && lastStatus != status {
-				slog.Debug("server not yet available", "error", err)
-				lastStatus = status
-				continue
-			}
-
-			switch status {
-			case ServerStatusLoadingModel:
-				// TODO - this state never seems to happen with the current server.cpp code (bug?)
-				// it doesn't respond to the health endpoint until after the model is loaded
-				slog.Debug("loading model")
-			case ServerStatusReady:
-				slog.Debug(fmt.Sprintf("llama runner started in %f seconds", time.Since(start).Seconds()))
-				return nil
+			return fmt.Errorf("timed out waiting for llama runner to start: %s", msg)
+		}
+		if s.cmd.ProcessState != nil {
+			msg := ""
+			if s.status != nil && s.status.LastErrMsg != "" {
+				msg = s.status.LastErrMsg
 			}
+			return fmt.Errorf("llama runner process no longer running: %d %s", s.cmd.ProcessState.ExitCode(), msg)
+		}
+		ctx, cancel := context.WithTimeout(ctx, 200*time.Millisecond)
+		defer cancel()
+		status, _ := s.getServerStatus(ctx)
+		if lastStatus != status && status != ServerStatusReady {
+			// Only log on status changes
+			slog.Info("waiting for server to become available", "status", status.ToString())
+		}
+		switch status {
+		case ServerStatusReady:
+			s.loadDuration = time.Since(start)
+			slog.Info(fmt.Sprintf("llama runner started in %0.2f seconds", s.loadDuration.Seconds()))
+			return nil
+		default:
+			lastStatus = status
+			time.Sleep(time.Millisecond * 250)
+			continue
 		}
 	}
 }
@@ -510,7 +565,6 @@ ws ::= ([ \t\n] ws)?
 `
 
 const maxBufferSize = 512 * format.KiloByte
-const maxRetries = 3
 
 type ImageData struct {
 	Data []byte `json:"data"`
@@ -518,10 +572,11 @@ type ImageData struct {
 }
 
 type completion struct {
-	Content string `json:"content"`
-	Model   string `json:"model"`
-	Prompt  string `json:"prompt"`
-	Stop    bool   `json:"stop"`
+	Content      string `json:"content"`
+	Model        string `json:"model"`
+	Prompt       string `json:"prompt"`
+	Stop         bool   `json:"stop"`
+	StoppedLimit bool   `json:"stopped_limit"`
 
 	Timings struct {
 		PredictedN  int     `json:"predicted_n"`
@@ -540,6 +595,7 @@ type CompletionRequest struct {
 
 type CompletionResponse struct {
 	Content            string
+	DoneReason         string
 	Done               bool
 	PromptEvalCount    int
 	PromptEvalDuration time.Duration
@@ -586,7 +642,7 @@ func (s *llmServer) Completion(ctx context.Context, req CompletionRequest, fn fu
 	}
 
 	// Make sure the server is ready
-	status, err := s.getServerStatus(ctx)
+	status, err := s.getServerStatusRetry(ctx)
 	if err != nil {
 		return err
 	} else if status != ServerStatusReady {
@@ -600,133 +656,119 @@ func (s *llmServer) Completion(ctx context.Context, req CompletionRequest, fn fu
 		}
 	}
 
-	retryDelay := 100 * time.Microsecond
-	for retries := 0; retries < maxRetries; retries++ {
-		if retries > 0 {
-			time.Sleep(retryDelay) // wait before retrying
-			retryDelay *= 2        // exponential backoff
-		}
+	// Handling JSON marshaling with special characters unescaped.
+	buffer := &bytes.Buffer{}
+	enc := json.NewEncoder(buffer)
+	enc.SetEscapeHTML(false)
 
-		// Handling JSON marshaling with special characters unescaped.
-		buffer := &bytes.Buffer{}
-		enc := json.NewEncoder(buffer)
-		enc.SetEscapeHTML(false)
+	if err := enc.Encode(request); err != nil {
+		return fmt.Errorf("failed to marshal data: %v", err)
+	}
 
-		if err := enc.Encode(request); err != nil {
-			return fmt.Errorf("failed to marshal data: %v", err)
-		}
+	endpoint := fmt.Sprintf("http://127.0.0.1:%d/completion", s.port)
+	serverReq, err := http.NewRequestWithContext(ctx, http.MethodPost, endpoint, buffer)
+	if err != nil {
+		return fmt.Errorf("error creating POST request: %v", err)
+	}
+	serverReq.Header.Set("Content-Type", "application/json")
 
-		endpoint := fmt.Sprintf("http://127.0.0.1:%d/completion", s.port)
-		req, err := http.NewRequestWithContext(ctx, http.MethodPost, endpoint, buffer)
+	res, err := http.DefaultClient.Do(serverReq)
+	if err != nil {
+		return fmt.Errorf("POST predict: %v", err)
+	}
+	defer res.Body.Close()
+
+	if res.StatusCode >= 400 {
+		bodyBytes, err := io.ReadAll(res.Body)
 		if err != nil {
-			return fmt.Errorf("error creating POST request: %v", err)
+			return fmt.Errorf("failed reading llm error response: %w", err)
 		}
-		req.Header.Set("Content-Type", "application/json")
+		log.Printf("llm predict error: %s", bodyBytes)
+		return fmt.Errorf("%s", bodyBytes)
+	}
 
-		resp, err := http.DefaultClient.Do(req)
-		if err != nil {
-			return fmt.Errorf("POST predict: %v", err)
-		}
-		defer resp.Body.Close()
+	scanner := bufio.NewScanner(res.Body)
+	buf := make([]byte, 0, maxBufferSize)
+	scanner.Buffer(buf, maxBufferSize)
 
-		if resp.StatusCode >= 400 {
-			bodyBytes, err := io.ReadAll(resp.Body)
-			if err != nil {
-				return fmt.Errorf("failed reading llm error response: %w", err)
+	// keep track of the last token generated, this is used to abort if the model starts looping
+	var lastToken string
+	var tokenRepeat int
+
+	for scanner.Scan() {
+		select {
+		case <-ctx.Done():
+			// This handles the request cancellation
+			return ctx.Err()
+		default:
+			line := scanner.Bytes()
+			if len(line) == 0 {
+				continue
 			}
-			log.Printf("llm predict error: %s", bodyBytes)
-			return fmt.Errorf("%s", bodyBytes)
-		}
 
-		scanner := bufio.NewScanner(resp.Body)
-		buf := make([]byte, 0, maxBufferSize)
-		scanner.Buffer(buf, maxBufferSize)
+			evt, ok := bytes.CutPrefix(line, []byte("data: "))
+			if !ok {
+				return fmt.Errorf("error parsing llm response stream: %s", line)
+			}
 
-		retryNeeded := false
-		// keep track of the last token generated, this is used to abort if the model starts looping
-		var lastToken string
-		var tokenRepeat int
+			var c completion
+			if err := json.Unmarshal(evt, &c); err != nil {
+				return fmt.Errorf("error unmarshaling llm prediction response: %v", err)
+			}
 
-		for scanner.Scan() {
-			select {
-			case <-ctx.Done():
-				// This handles the request cancellation
-				return ctx.Err()
+			switch {
+			case strings.TrimSpace(c.Content) == lastToken:
+				tokenRepeat++
 			default:
-				line := scanner.Bytes()
-				if len(line) == 0 {
-					continue
-				}
-
-				// try again on slot unavailable
-				if bytes.Contains(line, []byte("slot unavailable")) {
-					retryNeeded = true
-					break
-				}
-
-				evt, ok := bytes.CutPrefix(line, []byte("data: "))
-				if !ok {
-					return fmt.Errorf("error parsing llm response stream: %s", line)
-				}
-
-				var c completion
-				if err := json.Unmarshal(evt, &c); err != nil {
-					return fmt.Errorf("error unmarshaling llm prediction response: %v", err)
-				}
-
-				switch {
-				case strings.TrimSpace(c.Content) == lastToken:
-					tokenRepeat++
-				default:
-					lastToken = strings.TrimSpace(c.Content)
-					tokenRepeat = 0
-				}
-
-				// 30 picked as an arbitrary max token repeat limit, modify as needed
-				if tokenRepeat > 30 {
-					slog.Debug("prediction aborted, token repeat limit reached")
-					return ctx.Err()
-				}
-
-				if c.Content != "" {
-					fn(CompletionResponse{
-						Content: c.Content,
-					})
-				}
-
-				if c.Stop {
-					fn(CompletionResponse{
-						Done:               true,
-						PromptEvalCount:    c.Timings.PromptN,
-						PromptEvalDuration: parseDurationMs(c.Timings.PromptMS),
-						EvalCount:          c.Timings.PredictedN,
-						EvalDuration:       parseDurationMs(c.Timings.PredictedMS),
-					})
-					return nil
-				}
+				lastToken = strings.TrimSpace(c.Content)
+				tokenRepeat = 0
 			}
-		}
 
-		if err := scanner.Err(); err != nil {
-			if strings.Contains(err.Error(), "unexpected EOF") {
-				s.Close()
-				msg := ""
-				if s.status != nil && s.status.LastErrMsg != "" {
-					msg = s.status.LastErrMsg
+			// 30 picked as an arbitrary max token repeat limit, modify as needed
+			if tokenRepeat > 30 {
+				slog.Debug("prediction aborted, token repeat limit reached")
+				return ctx.Err()
+			}
+
+			if c.Content != "" {
+				fn(CompletionResponse{
+					Content: c.Content,
+				})
+			}
+
+			if c.Stop {
+				doneReason := "stop"
+				if c.StoppedLimit {
+					doneReason = "length"
 				}
 
-				return fmt.Errorf("an unknown error was encountered while running the model %s", msg)
+				fn(CompletionResponse{
+					Done:               true,
+					DoneReason:         doneReason,
+					PromptEvalCount:    c.Timings.PromptN,
+					PromptEvalDuration: parseDurationMs(c.Timings.PromptMS),
+					EvalCount:          c.Timings.PredictedN,
+					EvalDuration:       parseDurationMs(c.Timings.PredictedMS),
+				})
+				return nil
 			}
-			return fmt.Errorf("error reading llm response: %v", err)
-		}
-
-		if !retryNeeded {
-			return nil // success
 		}
 	}
 
-	// should never reach here ideally
-	return fmt.Errorf("max retries exceeded")
+	if err := scanner.Err(); err != nil {
+		if strings.Contains(err.Error(), "unexpected EOF") {
+			s.Close()
+			msg := ""
+			if s.status != nil && s.status.LastErrMsg != "" {
+				msg = s.status.LastErrMsg
+			}
+			return fmt.Errorf("an unknown error was encountered while running the model %s", msg)
+		}
+
+		return fmt.Errorf("error reading llm response: %v", err)
+	}
+
+	return nil
 }
 
 type EmbeddingRequest struct {
@@ -743,8 +785,9 @@ func (s *llmServer) Embedding(ctx context.Context, prompt string) ([]float64, er
 		return nil, err
 	}
 	defer s.sem.Release(1)
+
 	// Make sure the server is ready
-	status, err := s.getServerStatus(ctx)
+	status, err := s.getServerStatusRetry(ctx)
 	if err != nil {
 		return nil, err
 	} else if status != ServerStatusReady {
@@ -799,7 +842,7 @@ func (s *llmServer) Tokenize(ctx context.Context, content string) ([]int, error)
 	status, err := s.getServerStatus(ctx)
 	if err != nil {
 		return nil, err
-	} else if status != ServerStatusReady && status != ServerStatusNoSlotsAvaialble {
+	} else if status != ServerStatusReady && status != ServerStatusNoSlotsAvailable {
 		return nil, fmt.Errorf("unexpected server status: %s", status.ToString())
 	}
 
@@ -851,7 +894,7 @@ func (s *llmServer) Detokenize(ctx context.Context, tokens []int) (string, error
 	status, err := s.getServerStatus(ctx)
 	if err != nil {
 		return "", err
-	} else if status != ServerStatusReady && status != ServerStatusNoSlotsAvaialble {
+	} else if status != ServerStatusReady && status != ServerStatusNoSlotsAvailable {
 		return "", fmt.Errorf("unexpected server status: %s", status.ToString())
 	}
 
@@ -896,8 +939,11 @@ func (s *llmServer) Close() error {
 		if err := s.cmd.Process.Kill(); err != nil {
 			return err
 		}
-
-		_ = s.cmd.Wait()
+		// if ProcessState is already populated, Wait already completed, no need to wait again
+		if s.cmd.ProcessState == nil {
+			slog.Debug("waiting for llama server to exit")
+			<-s.done
+		}
 
 		slog.Debug("llama server stopped")
 	}

openai/openai.go

@@ -109,13 +109,12 @@ func toChatCompletion(id string, r api.ChatResponse) ChatCompletion {
 		Choices: []Choice{{
 			Index:   0,
 			Message: Message{Role: r.Message.Role, Content: r.Message.Content},
-			FinishReason: func(done bool) *string {
-				if done {
-					reason := "stop"
+			FinishReason: func(reason string) *string {
+				if len(reason) > 0 {
 					return &reason
 				}
 				return nil
-			}(r.Done),
+			}(r.DoneReason),
 		}},
 		Usage: Usage{
 			// TODO: ollama returns 0 for prompt eval if the prompt was cached, but openai returns the actual count
@@ -133,19 +132,16 @@ func toChunk(id string, r api.ChatResponse) ChatCompletionChunk {
 		Created:           time.Now().Unix(),
 		Model:             r.Model,
 		SystemFingerprint: "fp_ollama",
-		Choices: []ChunkChoice{
-			{
-				Index: 0,
-				Delta: Message{Role: "assistant", Content: r.Message.Content},
-				FinishReason: func(done bool) *string {
-					if done {
-						reason := "stop"
-						return &reason
-					}
-					return nil
-				}(r.Done),
-			},
-		},
+		Choices: []ChunkChoice{{
+			Index: 0,
+			Delta: Message{Role: "assistant", Content: r.Message.Content},
+			FinishReason: func(reason string) *string {
+				if len(reason) > 0 {
+					return &reason
+				}
+				return nil
+			}(r.DoneReason),
+		}},
 	}
 }
 

readline/readline.go

@@ -218,7 +218,7 @@ func (i *Instance) Readline() (string, error) {
 		case CharCtrlZ:
 			fd := int(syscall.Stdin)
 			return handleCharCtrlZ(fd, i.Terminal.termios)
-		case CharEnter:
+		case CharEnter, CharCtrlJ:
 			output := buf.String()
 			if output != "" {
 				i.History.Add([]rune(output))
@@ -232,7 +232,7 @@ func (i *Instance) Readline() (string, error) {
 				metaDel = false
 				continue
 			}
-			if r >= CharSpace || r == CharEnter {
+			if r >= CharSpace || r == CharEnter || r == CharCtrlJ {
 				buf.Add(r)
 			}
 		}

scripts/install.sh

@@ -166,8 +166,8 @@ fi
 
 if check_gpu lspci amdgpu || check_gpu lshw amdgpu; then
     # Look for pre-existing ROCm v6 before downloading the dependencies
-    for search in "${HIP_PATH:-''}" "${ROCM_PATH:-''}" "/opt/rocm"; do
-        if [ -n "${search}" ] && [ -e "${search}/lib/libhipblas.so.2" ]; then
+    for search in "${HIP_PATH:-''}" "${ROCM_PATH:-''}" "/opt/rocm" "/usr/lib64"; do
+        if [ -n "${search}" ] && [ -e "${search}/libhipblas.so.2" -o -e "${search}/lib/libhipblas.so.2" ]; then
             status "Compatible AMD GPU ROCm library detected at ${search}"
             install_success
             exit 0

server/envconfig/config.go

@@ -0,0 +1,174 @@
+package envconfig
+
+import (
+	"fmt"
+	"log/slog"
+	"os"
+	"path/filepath"
+	"runtime"
+	"strconv"
+	"strings"
+)
+
+var (
+	// Set via OLLAMA_ORIGINS in the environment
+	AllowOrigins []string
+	// Set via OLLAMA_DEBUG in the environment
+	Debug bool
+	// Set via OLLAMA_LLM_LIBRARY in the environment
+	LLMLibrary string
+	// Set via OLLAMA_MAX_LOADED_MODELS in the environment
+	MaxRunners int
+	// Set via OLLAMA_MAX_QUEUE in the environment
+	MaxQueuedRequests int
+	// Set via OLLAMA_MAX_VRAM in the environment
+	MaxVRAM uint64
+	// Set via OLLAMA_NOPRUNE in the environment
+	NoPrune bool
+	// Set via OLLAMA_NUM_PARALLEL in the environment
+	NumParallel int
+	// Set via OLLAMA_RUNNERS_DIR in the environment
+	RunnersDir string
+	// Set via OLLAMA_TMPDIR in the environment
+	TmpDir string
+)
+
+func AsMap() map[string]string {
+	return map[string]string{
+		"OLLAMA_ORIGINS":           fmt.Sprintf("%v", AllowOrigins),
+		"OLLAMA_DEBUG":             fmt.Sprintf("%v", Debug),
+		"OLLAMA_LLM_LIBRARY":       fmt.Sprintf("%v", LLMLibrary),
+		"OLLAMA_MAX_LOADED_MODELS": fmt.Sprintf("%v", MaxRunners),
+		"OLLAMA_MAX_QUEUE":         fmt.Sprintf("%v", MaxQueuedRequests),
+		"OLLAMA_MAX_VRAM":          fmt.Sprintf("%v", MaxVRAM),
+		"OLLAMA_NOPRUNE":           fmt.Sprintf("%v", NoPrune),
+		"OLLAMA_NUM_PARALLEL":      fmt.Sprintf("%v", NumParallel),
+		"OLLAMA_RUNNERS_DIR":       fmt.Sprintf("%v", RunnersDir),
+		"OLLAMA_TMPDIR":            fmt.Sprintf("%v", TmpDir),
+	}
+}
+
+var defaultAllowOrigins = []string{
+	"localhost",
+	"127.0.0.1",
+	"0.0.0.0",
+}
+
+// Clean quotes and spaces from the value
+func clean(key string) string {
+	return strings.Trim(os.Getenv(key), "\"' ")
+}
+
+func init() {
+	// default values
+	NumParallel = 1
+	MaxRunners = 1
+	MaxQueuedRequests = 512
+
+	LoadConfig()
+}
+
+func LoadConfig() {
+	if debug := clean("OLLAMA_DEBUG"); debug != "" {
+		d, err := strconv.ParseBool(debug)
+		if err == nil {
+			Debug = d
+		} else {
+			Debug = true
+		}
+	}
+
+	RunnersDir = clean("OLLAMA_RUNNERS_DIR")
+	if runtime.GOOS == "windows" && RunnersDir == "" {
+		// On Windows we do not carry the payloads inside the main executable
+		appExe, err := os.Executable()
+		if err != nil {
+			slog.Error("failed to lookup executable path", "error", err)
+		}
+
+		cwd, err := os.Getwd()
+		if err != nil {
+			slog.Error("failed to lookup working directory", "error", err)
+		}
+
+		var paths []string
+		for _, root := range []string{filepath.Dir(appExe), cwd} {
+			paths = append(paths,
+				filepath.Join(root),
+				filepath.Join(root, "windows-"+runtime.GOARCH),
+				filepath.Join(root, "dist", "windows-"+runtime.GOARCH),
+			)
+		}
+
+		// Try a few variations to improve developer experience when building from source in the local tree
+		for _, p := range paths {
+			candidate := filepath.Join(p, "ollama_runners")
+			_, err := os.Stat(candidate)
+			if err == nil {
+				RunnersDir = candidate
+				break
+			}
+		}
+		if RunnersDir == "" {
+			slog.Error("unable to locate llm runner directory.  Set OLLAMA_RUNNERS_DIR to the location of 'ollama_runners'")
+		}
+	}
+
+	TmpDir = clean("OLLAMA_TMPDIR")
+
+	userLimit := clean("OLLAMA_MAX_VRAM")
+	if userLimit != "" {
+		avail, err := strconv.ParseUint(userLimit, 10, 64)
+		if err != nil {
+			slog.Error("invalid setting, ignoring", "OLLAMA_MAX_VRAM", userLimit, "error", err)
+		} else {
+			MaxVRAM = avail
+		}
+	}
+
+	LLMLibrary = clean("OLLAMA_LLM_LIBRARY")
+
+	if onp := clean("OLLAMA_NUM_PARALLEL"); onp != "" {
+		val, err := strconv.Atoi(onp)
+		if err != nil || val <= 0 {
+			slog.Error("invalid setting must be greater than zero", "OLLAMA_NUM_PARALLEL", onp, "error", err)
+		} else {
+			NumParallel = val
+		}
+	}
+
+	if noprune := clean("OLLAMA_NOPRUNE"); noprune != "" {
+		NoPrune = true
+	}
+
+	if origins := clean("OLLAMA_ORIGINS"); origins != "" {
+		AllowOrigins = strings.Split(origins, ",")
+	}
+	for _, allowOrigin := range defaultAllowOrigins {
+		AllowOrigins = append(AllowOrigins,
+			fmt.Sprintf("http://%s", allowOrigin),
+			fmt.Sprintf("https://%s", allowOrigin),
+			fmt.Sprintf("http://%s:*", allowOrigin),
+			fmt.Sprintf("https://%s:*", allowOrigin),
+		)
+	}
+
+	maxRunners := clean("OLLAMA_MAX_LOADED_MODELS")
+	if maxRunners != "" {
+		m, err := strconv.Atoi(maxRunners)
+		if err != nil {
+			slog.Error("invalid setting", "OLLAMA_MAX_LOADED_MODELS", maxRunners, "error", err)
+		} else {
+			MaxRunners = m
+		}
+	}
+
+	if onp := os.Getenv("OLLAMA_MAX_QUEUE"); onp != "" {
+		p, err := strconv.Atoi(onp)
+		if err != nil || p <= 0 {
+			slog.Error("invalid setting", "OLLAMA_MAX_QUEUE", onp, "error", err)
+		} else {
+			MaxQueuedRequests = p
+		}
+	}
+}

server/envconfig/config_test.go

@@ -0,0 +1,20 @@
+package envconfig
+
+import (
+	"testing"
+
+	"github.com/stretchr/testify/require"
+)
+
+func TestConfig(t *testing.T) {
+	Debug = false // Reset whatever was loaded in init()
+	t.Setenv("OLLAMA_DEBUG", "")
+	LoadConfig()
+	require.False(t, Debug)
+	t.Setenv("OLLAMA_DEBUG", "false")
+	LoadConfig()
+	require.False(t, Debug)
+	t.Setenv("OLLAMA_DEBUG", "1")
+	LoadConfig()
+	require.True(t, Debug)
+}

server/images.go

@@ -1,8 +1,8 @@
 package server
 
 import (
-	"archive/zip"
 	"bytes"
+	"cmp"
 	"context"
 	"crypto/sha256"
 	"encoding/base64"
@@ -11,7 +11,6 @@ import (
 	"errors"
 	"fmt"
 	"io"
-	"io/fs"
 	"log"
 	"log/slog"
 	"net/http"
@@ -26,10 +25,9 @@ import (
 
 	"github.com/ollama/ollama/api"
 	"github.com/ollama/ollama/auth"
-	"github.com/ollama/ollama/convert"
 	"github.com/ollama/ollama/format"
 	"github.com/ollama/ollama/llm"
-	"github.com/ollama/ollama/parser"
+	"github.com/ollama/ollama/server/envconfig"
 	"github.com/ollama/ollama/types/errtypes"
 	"github.com/ollama/ollama/types/model"
 	"github.com/ollama/ollama/version"
@@ -54,7 +52,6 @@ type Model struct {
 	System         string
 	License        []string
 	Digest         string
-	Size           int64
 	Options        map[string]interface{}
 	Messages       []Message
 }
@@ -63,46 +60,74 @@ func (m *Model) IsEmbedding() bool {
 	return slices.Contains(m.Config.ModelFamilies, "bert") || slices.Contains(m.Config.ModelFamilies, "nomic-bert")
 }
 
-func (m *Model) Commands() (cmds []parser.Command) {
-	cmds = append(cmds, parser.Command{Name: "model", Args: m.ModelPath})
+func (m *Model) String() string {
+	var modelfile model.File
 
-	if m.Template != "" {
-		cmds = append(cmds, parser.Command{Name: "template", Args: m.Template})
-	}
-
-	if m.System != "" {
-		cmds = append(cmds, parser.Command{Name: "system", Args: m.System})
-	}
+	modelfile.Commands = append(modelfile.Commands, model.Command{
+		Name: "model",
+		Args: m.ModelPath,
+	})
 
 	for _, adapter := range m.AdapterPaths {
-		cmds = append(cmds, parser.Command{Name: "adapter", Args: adapter})
+		modelfile.Commands = append(modelfile.Commands, model.Command{
+			Name: "adapter",
+			Args: adapter,
+		})
 	}
 
 	for _, projector := range m.ProjectorPaths {
-		cmds = append(cmds, parser.Command{Name: "projector", Args: projector})
+		modelfile.Commands = append(modelfile.Commands, model.Command{
+			Name: "model",
+			Args: projector,
+		})
+	}
+
+	if m.Template != "" {
+		modelfile.Commands = append(modelfile.Commands, model.Command{
+			Name: "template",
+			Args: m.Template,
+		})
+	}
+
+	if m.System != "" {
+		modelfile.Commands = append(modelfile.Commands, model.Command{
+			Name: "system",
+			Args: m.System,
+		})
 	}
 
 	for k, v := range m.Options {
 		switch v := v.(type) {
 		case []any:
 			for _, s := range v {
-				cmds = append(cmds, parser.Command{Name: k, Args: fmt.Sprintf("%v", s)})
+				modelfile.Commands = append(modelfile.Commands, model.Command{
+					Name: k,
+					Args: fmt.Sprintf("%v", s),
+				})
 			}
 		default:
-			cmds = append(cmds, parser.Command{Name: k, Args: fmt.Sprintf("%v", v)})
+			modelfile.Commands = append(modelfile.Commands, model.Command{
+				Name: k,
+				Args: fmt.Sprintf("%v", v),
+			})
 		}
 	}
 
 	for _, license := range m.License {
-		cmds = append(cmds, parser.Command{Name: "license", Args: license})
+		modelfile.Commands = append(modelfile.Commands, model.Command{
+			Name: "license",
+			Args: license,
+		})
 	}
 
 	for _, msg := range m.Messages {
-		cmds = append(cmds, parser.Command{Name: "message", Args: fmt.Sprintf("%s %s", msg.Role, msg.Content)})
+		modelfile.Commands = append(modelfile.Commands, model.Command{
+			Name: "message",
+			Args: fmt.Sprintf("%s %s", msg.Role, msg.Content),
+		})
 	}
 
-	return cmds
-
+	return modelfile.String()
 }
 
 type Message struct {
@@ -130,50 +155,11 @@ type ConfigV2 struct {
 	RootFS       RootFS `json:"rootfs"`
 }
 
-func (c *ConfigV2) SetModelFormat(format string) {
-	if c.ModelFormat == "" {
-		c.ModelFormat = format
-	}
-}
-
-func (c *ConfigV2) SetModelFamily(families ...string) {
-	for _, family := range families {
-		if c.ModelFamily == "" {
-			c.ModelFamily = family
-		}
-
-		if !slices.Contains(c.ModelFamilies, family) {
-			c.ModelFamilies = append(c.ModelFamilies, family)
-		}
-	}
-}
-
-func (c *ConfigV2) SetModelType(modelType string) {
-	if c.ModelType == "" {
-		c.ModelType = modelType
-	}
-}
-
-func (c *ConfigV2) SetFileType(fileType string) {
-	if c.FileType == "" {
-		c.FileType = fileType
-	}
-}
-
 type RootFS struct {
 	Type    string   `json:"type"`
 	DiffIDs []string `json:"diff_ids"`
 }
 
-func (m *ManifestV2) GetTotalSize() (total int64) {
-	for _, layer := range m.Layers {
-		total += layer.Size
-	}
-
-	total += m.Config.Size
-	return total
-}
-
 func GetManifest(mp ModelPath) (*ManifestV2, string, error) {
 	fp, err := mp.GetManifestPath()
 	if err != nil {
@@ -214,7 +200,6 @@ func GetModel(name string) (*Model, error) {
 		Digest:    digest,
 		Template:  "{{ .Prompt }}",
 		License:   []string{},
-		Size:      manifest.GetTotalSize(),
 	}
 
 	filename, err := GetBlobsPath(manifest.Config.Digest)
@@ -304,7 +289,7 @@ func GetModel(name string) (*Model, error) {
 	return model, nil
 }
 
-func realpath(mfDir, from string) string {
+func realpath(rel, from string) string {
 	abspath, err := filepath.Abs(from)
 	if err != nil {
 		return from
@@ -321,22 +306,15 @@ func realpath(mfDir, from string) string {
 		return filepath.Join(home, from[2:])
 	}
 
-	if _, err := os.Stat(filepath.Join(mfDir, from)); err == nil {
+	if _, err := os.Stat(filepath.Join(rel, from)); err == nil {
 		// this is a file relative to the Modelfile
-		return filepath.Join(mfDir, from)
+		return filepath.Join(rel, from)
 	}
 
 	return abspath
 }
 
-func CreateModel(ctx context.Context, name, modelFileDir, quantization string, commands []parser.Command, fn func(resp api.ProgressResponse)) error {
-	deleteMap := make(map[string]struct{})
-	if manifest, _, err := GetManifest(ParseModelPath(name)); err == nil {
-		for _, layer := range append(manifest.Layers, manifest.Config) {
-			deleteMap[layer.Digest] = struct{}{}
-		}
-	}
-
+func CreateModel(ctx context.Context, name, modelFileDir, quantization string, modelfile *model.File, fn func(resp api.ProgressResponse)) (err error) {
 	config := ConfigV2{
 		OS:           "linux",
 		Architecture: "amd64",
@@ -345,250 +323,181 @@ func CreateModel(ctx context.Context, name, modelFileDir, quantization string, c
 		},
 	}
 
-	var layers Layers
-	messages := []string{}
+	var messages []*api.Message
+	parameters := make(map[string]any)
 
-	params := make(map[string][]string)
-	fromParams := make(map[string]any)
-
-	for _, c := range commands {
+	var layers []*Layer
+	for _, c := range modelfile.Commands {
 		mediatype := fmt.Sprintf("application/vnd.ollama.image.%s", c.Name)
 
 		switch c.Name {
-		case "model":
-			if strings.HasPrefix(c.Args, "@") {
-				blobPath, err := GetBlobsPath(strings.TrimPrefix(c.Args, "@"))
+		case "model", "adapter":
+			var baseLayers []*layerWithGGML
+			if name := model.ParseName(c.Args); name.IsValid() {
+				baseLayers, err = parseFromModel(ctx, name, fn)
+				if err != nil {
+					return err
+				}
+			} else if strings.HasPrefix(c.Args, "@") {
+				blobpath, err := GetBlobsPath(strings.TrimPrefix(c.Args, "@"))
 				if err != nil {
 					return err
 				}
 
-				c.Args = blobPath
-			}
-
-			pathName := realpath(modelFileDir, c.Args)
-
-			ggufName, err := convertModel(name, pathName, fn)
-			if err != nil {
-				var pathErr *fs.PathError
-				switch {
-				case errors.Is(err, zip.ErrFormat):
-					// it's not a safetensor archive
-				case errors.As(err, &pathErr):
-					// it's not a file on disk, could be a model reference
-				default:
+				blob, err := os.Open(blobpath)
+				if err != nil {
 					return err
 				}
+				defer blob.Close()
+
+				baseLayers, err = parseFromFile(ctx, blob, fn)
+				if err != nil {
+					return err
+				}
+			} else if file, err := os.Open(realpath(modelFileDir, c.Args)); err == nil {
+				defer file.Close()
+
+				baseLayers, err = parseFromFile(ctx, file, fn)
+				if err != nil {
+					return err
+				}
+			} else {
+				return fmt.Errorf("invalid model reference: %s", c.Args)
 			}
 
-			if ggufName != "" {
-				pathName = ggufName
-				defer os.RemoveAll(ggufName)
-
-				if quantization != "" {
-					quantization = strings.ToUpper(quantization)
-					fn(api.ProgressResponse{Status: fmt.Sprintf("quantizing %s model to %s", "F16", quantization)})
-					tempfile, err := os.CreateTemp(filepath.Dir(ggufName), quantization)
+			for _, baseLayer := range baseLayers {
+				if quantization != "" &&
+					baseLayer.MediaType == "application/vnd.ollama.image.model" &&
+					baseLayer.GGML != nil &&
+					baseLayer.GGML.Name() == "gguf" {
+					want, err := llm.ParseFileType(quantization)
 					if err != nil {
 						return err
 					}
-					defer os.RemoveAll(tempfile.Name())
 
-					if err := llm.Quantize(ggufName, tempfile.Name(), quantization); err != nil {
-						return err
-					}
+					ft := baseLayer.GGML.KV().FileType()
+					if !slices.Contains([]string{"F16", "F32"}, ft.String()) {
+						return errors.New("quantization is only supported for F16 and F32 models")
+					} else if want != ft {
+						fn(api.ProgressResponse{Status: fmt.Sprintf("quantizing %s model to %s", ft, quantization)})
 
-					if err := tempfile.Close(); err != nil {
-						return err
-					}
-
-					pathName = tempfile.Name()
-				}
-			}
-
-			bin, err := os.Open(pathName)
-			if err != nil {
-				// not a file on disk so must be a model reference
-				modelpath := ParseModelPath(c.Args)
-				manifest, _, err := GetManifest(modelpath)
-				switch {
-				case errors.Is(err, os.ErrNotExist):
-					fn(api.ProgressResponse{Status: "pulling model"})
-					if err := PullModel(ctx, c.Args, &registryOptions{}, fn); err != nil {
-						return err
-					}
-
-					manifest, _, err = GetManifest(modelpath)
-					if err != nil {
-						return err
-					}
-				case err != nil:
-					return err
-				}
-
-				fn(api.ProgressResponse{Status: "reading model metadata"})
-				fromConfigPath, err := GetBlobsPath(manifest.Config.Digest)
-				if err != nil {
-					return err
-				}
-
-				fromConfigFile, err := os.Open(fromConfigPath)
-				if err != nil {
-					return err
-				}
-				defer fromConfigFile.Close()
-
-				var fromConfig ConfigV2
-				if err := json.NewDecoder(fromConfigFile).Decode(&fromConfig); err != nil {
-					return err
-				}
-
-				// if the model is still not in gguf format, error out
-				if fromConfig.ModelFormat != "gguf" {
-					return fmt.Errorf("%s is not in gguf format, this base model is not compatible with this version of ollama", c.Args)
-				}
-
-				config.SetModelFormat(fromConfig.ModelFormat)
-				config.SetModelFamily(append(fromConfig.ModelFamilies, fromConfig.ModelFamily)...)
-				config.SetModelType(fromConfig.ModelType)
-				config.SetFileType(fromConfig.FileType)
-
-				for _, layer := range manifest.Layers {
-					deleteMap[layer.Digest] = struct{}{}
-					if layer.MediaType == "application/vnd.ollama.image.params" {
-						fromParamsPath, err := GetBlobsPath(layer.Digest)
+						blob, err := GetBlobsPath(baseLayer.Digest)
 						if err != nil {
 							return err
 						}
 
-						fromParamsFile, err := os.Open(fromParamsPath)
+						temp, err := os.CreateTemp(filepath.Dir(blob), quantization)
 						if err != nil {
 							return err
 						}
-						defer fromParamsFile.Close()
+						defer temp.Close()
+						defer os.Remove(temp.Name())
 
-						if err := json.NewDecoder(fromParamsFile).Decode(&fromParams); err != nil {
+						if err := llm.Quantize(blob, temp.Name(), want); err != nil {
+							return err
+						}
+
+						baseLayer.Layer, err = NewLayer(temp, baseLayer.Layer.MediaType)
+						if err != nil {
 							return err
 						}
 					}
-
-					layer, err := NewLayerFromLayer(layer.Digest, layer.MediaType, modelpath.GetShortTagname())
-					if err != nil {
-						return err
-					}
-
-					layers.Add(layer)
 				}
 
-				deleteMap[manifest.Config.Digest] = struct{}{}
-				continue
+				if baseLayer.GGML != nil {
+					config.ModelFormat = cmp.Or(config.ModelFormat, baseLayer.GGML.Name())
+					config.ModelFamily = cmp.Or(config.ModelFamily, baseLayer.GGML.KV().Architecture())
+					config.ModelType = cmp.Or(config.ModelType, format.HumanNumber(baseLayer.GGML.KV().ParameterCount()))
+					config.FileType = cmp.Or(config.FileType, baseLayer.GGML.KV().FileType().String())
+					config.ModelFamilies = append(config.ModelFamilies, baseLayer.GGML.KV().Architecture())
+				}
+
+				layers = append(layers, baseLayer.Layer)
 			}
-			defer bin.Close()
-
-			var offset int64
-			for {
-				fn(api.ProgressResponse{Status: "creating model layer"})
-				if _, err := bin.Seek(offset, io.SeekStart); err != nil {
-					return err
-				}
-
-				ggml, size, err := llm.DecodeGGML(bin)
-				if errors.Is(err, io.EOF) {
-					break
-				} else if errors.Is(err, llm.ErrUnsupportedFormat) {
-					return fmt.Errorf("model binary specified in FROM field is not a valid gguf format model, %w", err)
-				} else if err != nil {
-					return err
-				}
-
-				config.SetModelFormat(ggml.Name())
-				config.SetModelFamily(ggml.KV().Architecture())
-				config.SetModelType(format.HumanNumber(ggml.KV().ParameterCount()))
-				config.SetFileType(ggml.KV().FileType())
-
-				mediatype := mediatype
-				if ggml.KV().Architecture() == "clip" {
-					mediatype = "application/vnd.ollama.image.projector"
-				}
-
-				sr := io.NewSectionReader(bin, offset, size)
-				layer, err := NewLayer(sr, mediatype)
-				if err != nil {
-					return err
-				}
-
-				layers.Add(layer)
-
-				offset += size
-			}
-		case "adapter":
-			if strings.HasPrefix(c.Args, "@") {
-				blobPath, err := GetBlobsPath(strings.TrimPrefix(c.Args, "@"))
-				if err != nil {
-					return err
-				}
-
-				c.Args = blobPath
-			}
-
-			fn(api.ProgressResponse{Status: "creating adapter layer"})
-			bin, err := os.Open(realpath(modelFileDir, c.Args))
-			if err != nil {
-				return err
-			}
-			defer bin.Close()
-
-			_, size, err := llm.DecodeGGML(bin)
+		case "license", "template", "system":
+			blob := strings.NewReader(c.Args)
+			layer, err := NewLayer(blob, mediatype)
 			if err != nil {
 				return err
 			}
 
-			sr := io.NewSectionReader(bin, 0, size)
-			layer, err := NewLayer(sr, mediatype)
-			if err != nil {
-				return err
+			if c.Name != "license" {
+				// replace
+				layers = slices.DeleteFunc(layers, func(layer *Layer) bool {
+					return layer.MediaType == mediatype
+				})
 			}
 
-			layers.Add(layer)
-		case "license":
-			fn(api.ProgressResponse{Status: "creating license layer"})
-
-			bin := strings.NewReader(c.Args)
-			layer, err := NewLayer(bin, mediatype)
-			if err != nil {
-				return err
-			}
-
-			layers.Add(layer)
-		case "template", "system":
-			fn(api.ProgressResponse{Status: fmt.Sprintf("creating %s layer", c.Name)})
-
-			bin := strings.NewReader(c.Args)
-			layer, err := NewLayer(bin, mediatype)
-			if err != nil {
-				return err
-			}
-
-			layers.Replace(layer)
+			layers = append(layers, layer)
 		case "message":
-			messages = append(messages, c.Args)
+			role, content, ok := strings.Cut(c.Args, ": ")
+			if !ok {
+				return fmt.Errorf("invalid message: %s", c.Args)
+			}
+
+			messages = append(messages, &api.Message{Role: role, Content: content})
 		default:
-			params[c.Name] = append(params[c.Name], c.Args)
+			ps, err := api.FormatParams(map[string][]string{c.Name: {c.Args}})
+			if err != nil {
+				return err
+			}
+
+			for k, v := range ps {
+				if ks, ok := parameters[k].([]string); ok {
+					parameters[k] = append(ks, v.([]string)...)
+				} else if vs, ok := v.([]string); ok {
+					parameters[k] = vs
+				} else {
+					parameters[k] = v
+				}
+			}
 		}
 	}
 
-	if len(messages) > 0 {
-		fn(api.ProgressResponse{Status: "creating parameters layer"})
+	var err2 error
+	layers = slices.DeleteFunc(layers, func(layer *Layer) bool {
+		switch layer.MediaType {
+		case "application/vnd.ollama.image.message":
+			// if there are new messages, remove the inherited ones
+			if len(messages) > 0 {
+				return true
+			}
 
-		msgs := make([]api.Message, 0)
+			return false
+		case "application/vnd.ollama.image.params":
+			// merge inherited parameters with new ones
+			r, err := layer.Open()
+			if err != nil {
+				err2 = err
+				return false
+			}
+			defer r.Close()
 
-		for _, m := range messages {
-			// todo: handle images
-			msg := strings.SplitN(m, ": ", 2)
-			msgs = append(msgs, api.Message{Role: msg[0], Content: msg[1]})
+			var ps map[string]any
+			if err := json.NewDecoder(r).Decode(&ps); err != nil {
+				err2 = err
+				return false
+			}
+
+			for k, v := range ps {
+				if _, ok := parameters[k]; !ok {
+					parameters[k] = v
+				}
+			}
+
+			return true
+		default:
+			return false
 		}
+	})
 
+	if err2 != nil {
+		return err2
+	}
+
+	if len(messages) > 0 {
 		var b bytes.Buffer
-		if err := json.NewEncoder(&b).Encode(msgs); err != nil {
+		if err := json.NewEncoder(&b).Encode(messages); err != nil {
 			return err
 		}
 
@@ -597,39 +506,25 @@ func CreateModel(ctx context.Context, name, modelFileDir, quantization string, c
 			return err
 		}
 
-		layers.Replace(layer)
+		layers = append(layers, layer)
 	}
 
-	if len(params) > 0 {
-		fn(api.ProgressResponse{Status: "creating parameters layer"})
-
-		formattedParams, err := api.FormatParams(params)
-		if err != nil {
-			return err
-		}
-
-		for k, v := range fromParams {
-			if _, ok := formattedParams[k]; !ok {
-				formattedParams[k] = v
-			}
-		}
-
+	if len(parameters) > 0 {
 		var b bytes.Buffer
-		if err := json.NewEncoder(&b).Encode(formattedParams); err != nil {
+		if err := json.NewEncoder(&b).Encode(parameters); err != nil {
 			return err
 		}
 
-		fn(api.ProgressResponse{Status: "creating config layer"})
 		layer, err := NewLayer(&b, "application/vnd.ollama.image.params")
 		if err != nil {
 			return err
 		}
 
-		layers.Replace(layer)
+		layers = append(layers, layer)
 	}
 
-	digests := make([]string, len(layers.items))
-	for i, layer := range layers.items {
+	digests := make([]string, len(layers))
+	for i, layer := range layers {
 		digests[i] = layer.Digest
 	}
 
@@ -640,36 +535,37 @@ func CreateModel(ctx context.Context, name, modelFileDir, quantization string, c
 		return err
 	}
 
-	configLayer, err := NewLayer(&b, "application/vnd.docker.container.image.v1+json")
+	layer, err := NewLayer(&b, "application/vnd.docker.container.image.v1+json")
 	if err != nil {
 		return err
 	}
 
-	delete(deleteMap, configLayer.Digest)
+	for _, layer := range append(layers, layer) {
+		if layer.status != "" {
+			fn(api.ProgressResponse{Status: layer.status})
+		}
+	}
 
-	for _, layer := range append(layers.items, configLayer) {
-		committed, err := layer.Commit()
-		if err != nil {
-			return err
+	unref := make(map[string]struct{})
+	if manifest, _, err := GetManifest(ParseModelPath(name)); err == nil {
+		for _, layer := range manifest.Layers {
+			if !slices.Contains(digests, layer.Digest) {
+				unref[layer.Digest] = struct{}{}
+			}
 		}
 
-		status := "writing layer"
-		if !committed {
-			status = "using already created layer"
+		if manifest.Config.Digest != layer.Digest {
+			unref[manifest.Config.Digest] = struct{}{}
 		}
-
-		fn(api.ProgressResponse{Status: fmt.Sprintf("%s %s", status, layer.Digest)})
-
-		delete(deleteMap, layer.Digest)
 	}
 
 	fn(api.ProgressResponse{Status: "writing manifest"})
-	if err := WriteManifest(name, configLayer, layers.items); err != nil {
+	if err := WriteManifest(name, layer, layers); err != nil {
 		return err
 	}
 
-	if noprune := os.Getenv("OLLAMA_NOPRUNE"); noprune == "" {
-		if err := deleteUnusedLayers(nil, deleteMap, false); err != nil {
+	if !envconfig.NoPrune {
+		if err := deleteUnusedLayers(nil, unref); err != nil {
 			return err
 		}
 	}
@@ -678,74 +574,6 @@ func CreateModel(ctx context.Context, name, modelFileDir, quantization string, c
 	return nil
 }
 
-func convertModel(name, path string, fn func(resp api.ProgressResponse)) (string, error) {
-	r, err := zip.OpenReader(path)
-	if err != nil {
-		return "", err
-	}
-	defer r.Close()
-
-	tempDir, err := os.MkdirTemp("", "ollama-convert")
-	if err != nil {
-		return "", err
-	}
-	defer os.RemoveAll(tempDir)
-
-	fn(api.ProgressResponse{Status: "unpacking model metadata"})
-	for _, f := range r.File {
-		fpath := filepath.Join(tempDir, f.Name)
-		outFile, err := os.OpenFile(fpath, os.O_WRONLY|os.O_CREATE|os.O_TRUNC, f.Mode())
-		if err != nil {
-			return "", err
-		}
-
-		rc, err := f.Open()
-		if err != nil {
-			return "", err
-		}
-
-		_, err = io.Copy(outFile, rc)
-		if err != nil {
-			return "", err
-		}
-
-		outFile.Close()
-		rc.Close()
-	}
-
-	mf, err := convert.GetModelFormat(tempDir)
-	if err != nil {
-		return "", err
-	}
-
-	params, err := mf.GetParams(tempDir)
-	if err != nil {
-		return "", err
-	}
-
-	mArch, err := mf.GetModelArch(name, tempDir, params)
-	if err != nil {
-		return "", err
-	}
-
-	fn(api.ProgressResponse{Status: "processing tensors"})
-	if err := mArch.GetTensors(); err != nil {
-		return "", err
-	}
-
-	if err := mArch.LoadVocab(); err != nil {
-		return "", err
-	}
-
-	fn(api.ProgressResponse{Status: "converting model"})
-	path, err = mArch.WriteGGUF()
-	if err != nil {
-		return "", err
-	}
-
-	return path, nil
-}
-
 func CopyModel(src, dst model.Name) error {
 	if !dst.IsFullyQualified() {
 		return model.Unqualified(dst)
@@ -785,7 +613,7 @@ func CopyModel(src, dst model.Name) error {
 	return err
 }
 
-func deleteUnusedLayers(skipModelPath *ModelPath, deleteMap map[string]struct{}, dryRun bool) error {
+func deleteUnusedLayers(skipModelPath *ModelPath, deleteMap map[string]struct{}) error {
 	fp, err := GetManifestPath()
 	if err != nil {
 		return err
@@ -832,13 +660,9 @@ func deleteUnusedLayers(skipModelPath *ModelPath, deleteMap map[string]struct{},
 			slog.Info(fmt.Sprintf("couldn't get file path for '%s': %v", k, err))
 			continue
 		}
-		if !dryRun {
-			if err := os.Remove(fp); err != nil {
-				slog.Info(fmt.Sprintf("couldn't remove file '%s': %v", fp, err))
-				continue
-			}
-		} else {
-			slog.Info(fmt.Sprintf("wanted to remove: %s", fp))
+		if err := os.Remove(fp); err != nil {
+			slog.Info(fmt.Sprintf("couldn't remove file '%s': %v", fp, err))
+			continue
 		}
 	}
 
@@ -861,14 +685,25 @@ func PruneLayers() error {
 	for _, blob := range blobs {
 		name := blob.Name()
 		name = strings.ReplaceAll(name, "-", ":")
-		if strings.HasPrefix(name, "sha256:") {
-			deleteMap[name] = struct{}{}
+
+		_, err := GetBlobsPath(name)
+		if err != nil {
+			if errors.Is(err, ErrInvalidDigestFormat) {
+				// remove invalid blobs (e.g. partial downloads)
+				if err := os.Remove(filepath.Join(p, blob.Name())); err != nil {
+					slog.Error("couldn't remove blob", "blob", blob.Name(), "error", err)
+				}
+			}
+
+			continue
 		}
+
+		deleteMap[name] = struct{}{}
 	}
 
 	slog.Info(fmt.Sprintf("total blobs: %d", len(deleteMap)))
 
-	err = deleteUnusedLayers(nil, deleteMap, false)
+	err = deleteUnusedLayers(nil, deleteMap)
 	if err != nil {
 		return err
 	}
@@ -924,7 +759,7 @@ func DeleteModel(name string) error {
 	}
 	deleteMap[manifest.Config.Digest] = struct{}{}
 
-	err = deleteUnusedLayers(&mp, deleteMap, false)
+	err = deleteUnusedLayers(&mp, deleteMap)
 	if err != nil {
 		return err
 	}
@@ -999,7 +834,7 @@ func PullModel(ctx context.Context, name string, regOpts *registryOptions, fn fu
 	// build deleteMap to prune unused layers
 	deleteMap := make(map[string]struct{})
 
-	if noprune = os.Getenv("OLLAMA_NOPRUNE"); noprune == "" {
+	if !envconfig.NoPrune {
 		manifest, _, err = GetManifest(mp)
 		if err != nil && !errors.Is(err, os.ErrNotExist) {
 			return err
@@ -1084,7 +919,7 @@ func PullModel(ctx context.Context, name string, regOpts *registryOptions, fn fu
 
 	if noprune == "" {
 		fn(api.ProgressResponse{Status: "removing any unused layers"})
-		err = deleteUnusedLayers(nil, deleteMap, false)
+		err = deleteUnusedLayers(nil, deleteMap)
 		if err != nil {
 			return err
 		}

server/layer.go

@@ -5,39 +5,14 @@ import (
 	"fmt"
 	"io"
 	"os"
-	"strings"
-
-	"golang.org/x/exp/slices"
 )
 
-type Layers struct {
-	items []*Layer
-}
-
-func (ls *Layers) Add(layer *Layer) {
-	if layer.Size > 0 {
-		ls.items = append(ls.items, layer)
-	}
-}
-
-func (ls *Layers) Replace(layer *Layer) {
-	if layer.Size > 0 {
-		mediatype := layer.MediaType
-		layers := slices.DeleteFunc(ls.items, func(l *Layer) bool {
-			return l.MediaType == mediatype
-		})
-
-		ls.items = append(layers, layer)
-	}
-}
-
 type Layer struct {
 	MediaType string `json:"mediaType"`
 	Digest    string `json:"digest"`
 	Size      int64  `json:"size"`
 	From      string `json:"from,omitempty"`
-
-	tempFileName string
+	status    string
 }
 
 func NewLayer(r io.Reader, mediatype string) (*Layer, error) {
@@ -46,14 +21,12 @@ func NewLayer(r io.Reader, mediatype string) (*Layer, error) {
 		return nil, err
 	}
 
-	const delimiter = "-"
-
-	pattern := strings.Join([]string{"sha256", "*-partial"}, delimiter)
-	temp, err := os.CreateTemp(blobs, pattern)
+	temp, err := os.CreateTemp(blobs, "sha256-")
 	if err != nil {
 		return nil, err
 	}
 	defer temp.Close()
+	defer os.Remove(temp.Name())
 
 	sha256sum := sha256.New()
 	n, err := io.Copy(io.MultiWriter(temp, sha256sum), r)
@@ -61,11 +34,29 @@ func NewLayer(r io.Reader, mediatype string) (*Layer, error) {
 		return nil, err
 	}
 
+	if err := temp.Close(); err != nil {
+		return nil, err
+	}
+
+	digest := fmt.Sprintf("sha256:%x", sha256sum.Sum(nil))
+	blob, err := GetBlobsPath(digest)
+	if err != nil {
+		return nil, err
+	}
+
+	status := "using existing layer"
+	if _, err := os.Stat(blob); err != nil {
+		status = "creating new layer"
+		if err := os.Rename(temp.Name(), blob); err != nil {
+			return nil, err
+		}
+	}
+
 	return &Layer{
-		MediaType:    mediatype,
-		Digest:       fmt.Sprintf("sha256:%x", sha256sum.Sum(nil)),
-		Size:         n,
-		tempFileName: temp.Name(),
+		MediaType: mediatype,
+		Digest:    digest,
+		Size:      n,
+		status:    fmt.Sprintf("%s %s", status, digest),
 	}, nil
 }
 
@@ -85,21 +76,15 @@ func NewLayerFromLayer(digest, mediatype, from string) (*Layer, error) {
 		Digest:    digest,
 		Size:      fi.Size(),
 		From:      from,
+		status:    fmt.Sprintf("using existing layer %s", digest),
 	}, nil
 }
 
-func (l *Layer) Commit() (bool, error) {
-	// always remove temp
-	defer os.Remove(l.tempFileName)
-
+func (l *Layer) Open() (io.ReadCloser, error) {
 	blob, err := GetBlobsPath(l.Digest)
 	if err != nil {
-		return false, err
+		return nil, err
 	}
 
-	if _, err := os.Stat(blob); err != nil {
-		return true, os.Rename(l.tempFileName, blob)
-	}
-
-	return false, nil
+	return os.Open(blob)
 }

server/manifest.go

@@ -0,0 +1,79 @@
+package server
+
+import (
+	"bytes"
+	"crypto/sha256"
+	"encoding/json"
+	"fmt"
+	"io"
+	"os"
+	"path/filepath"
+
+	"github.com/ollama/ollama/types/model"
+)
+
+type Manifest struct {
+	ManifestV2
+	Digest string `json:"-"`
+}
+
+func (m *Manifest) Size() (size int64) {
+	for _, layer := range append(m.Layers, m.Config) {
+		size += layer.Size
+	}
+
+	return
+}
+
+func ParseNamedManifest(name model.Name) (*Manifest, error) {
+	if !name.IsFullyQualified() {
+		return nil, model.Unqualified(name)
+	}
+
+	manifests, err := GetManifestPath()
+	if err != nil {
+		return nil, err
+	}
+
+	var manifest ManifestV2
+	manifestfile, err := os.Open(filepath.Join(manifests, name.Filepath()))
+	if err != nil {
+		return nil, err
+	}
+
+	sha256sum := sha256.New()
+	if err := json.NewDecoder(io.TeeReader(manifestfile, sha256sum)).Decode(&manifest); err != nil {
+		return nil, err
+	}
+
+	return &Manifest{
+		ManifestV2: manifest,
+		Digest:     fmt.Sprintf("%x", sha256sum.Sum(nil)),
+	}, nil
+}
+
+func WriteManifest(name string, config *Layer, layers []*Layer) error {
+	manifest := ManifestV2{
+		SchemaVersion: 2,
+		MediaType:     "application/vnd.docker.distribution.manifest.v2+json",
+		Config:        config,
+		Layers:        layers,
+	}
+
+	var b bytes.Buffer
+	if err := json.NewEncoder(&b).Encode(manifest); err != nil {
+		return err
+	}
+
+	modelpath := ParseModelPath(name)
+	manifestPath, err := modelpath.GetManifestPath()
+	if err != nil {
+		return err
+	}
+
+	if err := os.MkdirAll(filepath.Dir(manifestPath), 0o755); err != nil {
+		return err
+	}
+
+	return os.WriteFile(manifestPath, b.Bytes(), 0o644)
+}

server/manifests.go

@@ -1,34 +0,0 @@
-package server
-
-import (
-	"bytes"
-	"encoding/json"
-	"os"
-	"path/filepath"
-)
-
-func WriteManifest(name string, config *Layer, layers []*Layer) error {
-	manifest := ManifestV2{
-		SchemaVersion: 2,
-		MediaType:     "application/vnd.docker.distribution.manifest.v2+json",
-		Config:        config,
-		Layers:        layers,
-	}
-
-	var b bytes.Buffer
-	if err := json.NewEncoder(&b).Encode(manifest); err != nil {
-		return err
-	}
-
-	modelpath := ParseModelPath(name)
-	manifestPath, err := modelpath.GetManifestPath()
-	if err != nil {
-		return err
-	}
-
-	if err := os.MkdirAll(filepath.Dir(manifestPath), 0o755); err != nil {
-		return err
-	}
-
-	return os.WriteFile(manifestPath, b.Bytes(), 0o644)
-}

server/model.go

@@ -0,0 +1,261 @@
+package server
+
+import (
+	"archive/zip"
+	"bytes"
+	"context"
+	"errors"
+	"fmt"
+	"io"
+	"net/http"
+	"os"
+	"path/filepath"
+
+	"github.com/ollama/ollama/api"
+	"github.com/ollama/ollama/convert"
+	"github.com/ollama/ollama/llm"
+	"github.com/ollama/ollama/types/model"
+)
+
+type layerWithGGML struct {
+	*Layer
+	*llm.GGML
+}
+
+func parseFromModel(ctx context.Context, name model.Name, fn func(api.ProgressResponse)) (layers []*layerWithGGML, err error) {
+	modelpath := ParseModelPath(name.String())
+	manifest, _, err := GetManifest(modelpath)
+	switch {
+	case errors.Is(err, os.ErrNotExist):
+		if err := PullModel(ctx, name.String(), &registryOptions{}, fn); err != nil {
+			return nil, err
+		}
+
+		modelpath = ParseModelPath(name.String())
+		manifest, _, err = GetManifest(modelpath)
+		if err != nil {
+			return nil, err
+		}
+	case err != nil:
+		return nil, err
+	}
+
+	for _, layer := range manifest.Layers {
+		layer, err := NewLayerFromLayer(layer.Digest, layer.MediaType, modelpath.GetShortTagname())
+		if err != nil {
+			return nil, err
+		}
+
+		switch layer.MediaType {
+		case "application/vnd.ollama.image.model",
+			"application/vnd.ollama.image.projector",
+			"application/vnd.ollama.image.adapter":
+			blobpath, err := GetBlobsPath(layer.Digest)
+			if err != nil {
+				return nil, err
+			}
+
+			blob, err := os.Open(blobpath)
+			if err != nil {
+				return nil, err
+			}
+			defer blob.Close()
+
+			ggml, _, err := llm.DecodeGGML(blob)
+			if err != nil {
+				return nil, err
+			}
+
+			layers = append(layers, &layerWithGGML{layer, ggml})
+		default:
+			layers = append(layers, &layerWithGGML{layer, nil})
+		}
+
+	}
+
+	return layers, nil
+}
+
+func parseFromZipFile(_ context.Context, file *os.File, fn func(api.ProgressResponse)) (layers []*layerWithGGML, err error) {
+	stat, err := file.Stat()
+	if err != nil {
+		return nil, err
+	}
+
+	r, err := zip.NewReader(file, stat.Size())
+	if err != nil {
+		return nil, err
+	}
+
+	tempdir, err := os.MkdirTemp(filepath.Dir(file.Name()), "")
+	if err != nil {
+		return nil, err
+	}
+	defer os.RemoveAll(tempdir)
+
+	fn(api.ProgressResponse{Status: "unpacking model metadata"})
+	for _, f := range r.File {
+		// TODO(mxyng): this should not write out all files to disk
+		outfile, err := os.Create(filepath.Join(tempdir, f.Name))
+		if err != nil {
+			return nil, err
+		}
+		defer outfile.Close()
+
+		infile, err := f.Open()
+		if err != nil {
+			return nil, err
+		}
+		defer infile.Close()
+
+		if _, err = io.Copy(outfile, infile); err != nil {
+			return nil, err
+		}
+
+		if err := outfile.Close(); err != nil {
+			return nil, err
+		}
+
+		if err := infile.Close(); err != nil {
+			return nil, err
+		}
+	}
+
+	mf, err := convert.GetModelFormat(tempdir)
+	if err != nil {
+		return nil, err
+	}
+
+	params, err := mf.GetParams(tempdir)
+	if err != nil {
+		return nil, err
+	}
+
+	mArch, err := mf.GetModelArch("", tempdir, params)
+	if err != nil {
+		return nil, err
+	}
+
+	fn(api.ProgressResponse{Status: "processing tensors"})
+	if err := mArch.GetTensors(); err != nil {
+		return nil, err
+	}
+
+	if err := mArch.LoadVocab(); err != nil {
+		return nil, err
+	}
+
+	fn(api.ProgressResponse{Status: "converting model"})
+
+	// TODO(mxyng): this should write directly into a layer
+	// e.g. NewLayer(arch.Reader(), "application/vnd.ollama.image.model")
+	temp, err := os.CreateTemp(tempdir, "fp16")
+	if err != nil {
+		return nil, err
+	}
+	defer temp.Close()
+	defer os.Remove(temp.Name())
+
+	if err = mArch.WriteGGUF(temp); err != nil {
+		return nil, err
+	}
+
+	if _, err := temp.Seek(0, io.SeekStart); err != nil {
+		return nil, err
+	}
+
+	layer, err := NewLayer(temp, "application/vnd.ollama.image.model")
+	if err != nil {
+		return nil, fmt.Errorf("aaa: %w", err)
+	}
+
+	blobpath, err := GetBlobsPath(layer.Digest)
+	if err != nil {
+		return nil, err
+	}
+
+	bin, err := os.Open(blobpath)
+	if err != nil {
+		return nil, err
+	}
+	defer bin.Close()
+
+	ggml, _, err := llm.DecodeGGML(bin)
+	if err != nil {
+		return nil, err
+	}
+
+	layer, err = NewLayerFromLayer(layer.Digest, layer.MediaType, "")
+	if err != nil {
+		return nil, err
+	}
+
+	layers = append(layers, &layerWithGGML{layer, ggml})
+	return layers, nil
+}
+
+func parseFromFile(ctx context.Context, file *os.File, fn func(api.ProgressResponse)) (layers []*layerWithGGML, err error) {
+	sr := io.NewSectionReader(file, 0, 512)
+	contentType, err := detectContentType(sr)
+	if err != nil {
+		return nil, err
+	}
+
+	switch contentType {
+	case "gguf", "ggla":
+		// noop
+	case "application/zip":
+		return parseFromZipFile(ctx, file, fn)
+	default:
+		return nil, fmt.Errorf("unsupported content type: %s", contentType)
+	}
+
+	stat, err := file.Stat()
+	if err != nil {
+		return nil, err
+	}
+
+	var offset int64
+	for offset < stat.Size() {
+		ggml, n, err := llm.DecodeGGML(file)
+		if errors.Is(err, io.EOF) {
+			break
+		} else if err != nil {
+			return nil, err
+		}
+
+		mediatype := "application/vnd.ollama.image.model"
+		if ggml.Name() == "ggla" {
+			mediatype = "application/vnd.ollama.image.adapter"
+		} else if ggml.KV().Architecture() == "clip" {
+			mediatype = "application/vnd.ollama.image.projector"
+		}
+
+		layer, err := NewLayer(io.NewSectionReader(file, offset, n), mediatype)
+		if err != nil {
+			return nil, err
+		}
+
+		layers = append(layers, &layerWithGGML{layer, ggml})
+		offset = n
+	}
+
+	return layers, nil
+}
+
+func detectContentType(r io.Reader) (string, error) {
+	var b bytes.Buffer
+	if _, err := io.Copy(&b, r); err != nil {
+		return "", err
+	}
+
+	if contentType := llm.DetectGGMLType(b.Bytes()); contentType != "" {
+		return contentType, nil
+	}
+
+	if contentType := http.DetectContentType(b.Bytes()); contentType != "application/octet-stream" {
+		return contentType, nil
+	}
+
+	return "unknown", nil
+}

server/modelpath.go

@@ -6,6 +6,7 @@ import (
 	"net/url"
 	"os"
 	"path/filepath"
+	"regexp"
 	"strings"
 )
 
@@ -25,9 +26,10 @@ const (
 )
 
 var (
-	ErrInvalidImageFormat = errors.New("invalid image format")
-	ErrInvalidProtocol    = errors.New("invalid protocol scheme")
-	ErrInsecureProtocol   = errors.New("insecure protocol http")
+	ErrInvalidImageFormat  = errors.New("invalid image format")
+	ErrInvalidProtocol     = errors.New("invalid protocol scheme")
+	ErrInsecureProtocol    = errors.New("insecure protocol http")
+	ErrInvalidDigestFormat = errors.New("invalid digest format")
 )
 
 func ParseModelPath(name string) ModelPath {
@@ -149,6 +151,14 @@ func GetBlobsPath(digest string) (string, error) {
 		return "", err
 	}
 
+	// only accept actual sha256 digests
+	pattern := "^sha256[:-][0-9a-fA-F]{64}$"
+	re := regexp.MustCompile(pattern)
+
+	if digest != "" && !re.MatchString(digest) {
+		return "", ErrInvalidDigestFormat
+	}
+
 	digest = strings.ReplaceAll(digest, ":", "-")
 	path := filepath.Join(dir, "blobs", digest)
 	dirPath := filepath.Dir(path)

server/modelpath_test.go

@@ -1,6 +1,73 @@
 package server
 
-import "testing"
+import (
+	"os"
+	"path/filepath"
+	"testing"
+
+	"github.com/stretchr/testify/assert"
+)
+
+func TestGetBlobsPath(t *testing.T) {
+	// GetBlobsPath expects an actual directory to exist
+	dir, err := os.MkdirTemp("", "ollama-test")
+	assert.Nil(t, err)
+	defer os.RemoveAll(dir)
+
+	tests := []struct {
+		name     string
+		digest   string
+		expected string
+		err      error
+	}{
+		{
+			"empty digest",
+			"",
+			filepath.Join(dir, "blobs"),
+			nil,
+		},
+		{
+			"valid with colon",
+			"sha256:456402914e838a953e0cf80caa6adbe75383d9e63584a964f504a7bbb8f7aad9",
+			filepath.Join(dir, "blobs", "sha256-456402914e838a953e0cf80caa6adbe75383d9e63584a964f504a7bbb8f7aad9"),
+			nil,
+		},
+		{
+			"valid with dash",
+			"sha256-456402914e838a953e0cf80caa6adbe75383d9e63584a964f504a7bbb8f7aad9",
+			filepath.Join(dir, "blobs", "sha256-456402914e838a953e0cf80caa6adbe75383d9e63584a964f504a7bbb8f7aad9"),
+			nil,
+		},
+		{
+			"digest too short",
+			"sha256-45640291",
+			"",
+			ErrInvalidDigestFormat,
+		},
+		{
+			"digest too long",
+			"sha256-456402914e838a953e0cf80caa6adbe75383d9e63584a964f504a7bbb8f7aad9aaaaaaaaaa",
+			"",
+			ErrInvalidDigestFormat,
+		},
+		{
+			"digest invalid chars",
+			"../sha256-456402914e838a953e0cf80caa6adbe75383d9e63584a964f504a7bbb8f7a",
+			"",
+			ErrInvalidDigestFormat,
+		},
+	}
+	for _, tc := range tests {
+		t.Run(tc.name, func(t *testing.T) {
+			t.Setenv("OLLAMA_MODELS", dir)
+
+			got, err := GetBlobsPath(tc.digest)
+
+			assert.ErrorIs(t, tc.err, err, tc.name)
+			assert.Equal(t, tc.expected, got, tc.name)
+		})
+	}
+}
 
 func TestParseModelPath(t *testing.T) {
 	tests := []struct {

server/routes.go

@@ -1,6 +1,7 @@
 package server
 
 import (
+	"cmp"
 	"context"
 	"encoding/json"
 	"errors"
@@ -28,7 +29,7 @@ import (
 	"github.com/ollama/ollama/gpu"
 	"github.com/ollama/ollama/llm"
 	"github.com/ollama/ollama/openai"
-	"github.com/ollama/ollama/parser"
+	"github.com/ollama/ollama/server/envconfig"
 	"github.com/ollama/ollama/types/model"
 	"github.com/ollama/ollama/version"
 )
@@ -126,10 +127,6 @@ func (s *Server) GenerateHandler(c *gin.Context) {
 
 	opts, err := modelOptions(model, req.Options)
 	if err != nil {
-		if errors.Is(err, api.ErrInvalidOpts) {
-			c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
-			return
-		}
 		c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
 		return
 	}
@@ -146,12 +143,7 @@ func (s *Server) GenerateHandler(c *gin.Context) {
 	select {
 	case runner = <-rCh:
 	case err = <-eCh:
-		if errors.Is(err, context.Canceled) {
-			c.JSON(499, gin.H{"error": "request canceled"})
-			return
-		}
-
-		c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
+		handleErrorResponse(c, err)
 		return
 	}
 
@@ -160,9 +152,10 @@ func (s *Server) GenerateHandler(c *gin.Context) {
 	// of `raw` mode so we need to check for it too
 	if req.Prompt == "" && req.Template == "" && req.System == "" {
 		c.JSON(http.StatusOK, api.GenerateResponse{
-			CreatedAt: time.Now().UTC(),
-			Model:     req.Model,
-			Done:      true,
+			CreatedAt:  time.Now().UTC(),
+			Model:      req.Model,
+			Done:       true,
+			DoneReason: "load",
 		})
 		return
 	}
@@ -230,10 +223,11 @@ func (s *Server) GenerateHandler(c *gin.Context) {
 			}
 
 			resp := api.GenerateResponse{
-				Model:     req.Model,
-				CreatedAt: time.Now().UTC(),
-				Done:      r.Done,
-				Response:  r.Content,
+				Model:      req.Model,
+				CreatedAt:  time.Now().UTC(),
+				Done:       r.Done,
+				Response:   r.Content,
+				DoneReason: r.DoneReason,
 				Metrics: api.Metrics{
 					PromptEvalCount:    r.PromptEvalCount,
 					PromptEvalDuration: r.PromptEvalDuration,
@@ -374,10 +368,6 @@ func (s *Server) EmbeddingsHandler(c *gin.Context) {
 
 	opts, err := modelOptions(model, req.Options)
 	if err != nil {
-		if errors.Is(err, api.ErrInvalidOpts) {
-			c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
-			return
-		}
 		c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
 		return
 	}
@@ -394,12 +384,7 @@ func (s *Server) EmbeddingsHandler(c *gin.Context) {
 	select {
 	case runner = <-rCh:
 	case err = <-eCh:
-		if errors.Is(err, context.Canceled) {
-			c.JSON(499, gin.H{"error": "request canceled"})
-			return
-		}
-
-		c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
+		handleErrorResponse(c, err)
 		return
 	}
 
@@ -522,28 +507,17 @@ func (s *Server) PushModelHandler(c *gin.Context) {
 
 func (s *Server) CreateModelHandler(c *gin.Context) {
 	var req api.CreateRequest
-	err := c.ShouldBindJSON(&req)
-	switch {
-	case errors.Is(err, io.EOF):
+	if err := c.ShouldBindJSON(&req); errors.Is(err, io.EOF) {
 		c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "missing request body"})
 		return
-	case err != nil:
+	} else if err != nil {
 		c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
 		return
 	}
 
-	var model string
-	if req.Model != "" {
-		model = req.Model
-	} else if req.Name != "" {
-		model = req.Name
-	} else {
-		c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "model is required"})
-		return
-	}
-
-	if err := ParseModelPath(model).Validate(); err != nil {
-		c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
+	name := model.ParseName(cmp.Or(req.Model, req.Name))
+	if !name.IsValid() {
+		c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "invalid model name"})
 		return
 	}
 
@@ -552,19 +526,19 @@ func (s *Server) CreateModelHandler(c *gin.Context) {
 		return
 	}
 
-	var modelfile io.Reader = strings.NewReader(req.Modelfile)
+	var r io.Reader = strings.NewReader(req.Modelfile)
 	if req.Path != "" && req.Modelfile == "" {
-		mf, err := os.Open(req.Path)
+		f, err := os.Open(req.Path)
 		if err != nil {
 			c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": fmt.Sprintf("error reading modelfile: %s", err)})
 			return
 		}
-		defer mf.Close()
+		defer f.Close()
 
-		modelfile = mf
+		r = f
 	}
 
-	commands, err := parser.Parse(modelfile)
+	modelfile, err := model.ParseFile(r)
 	if err != nil {
 		c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
 		return
@@ -580,7 +554,12 @@ func (s *Server) CreateModelHandler(c *gin.Context) {
 		ctx, cancel := context.WithCancel(c.Request.Context())
 		defer cancel()
 
-		if err := CreateModel(ctx, model, filepath.Dir(req.Path), req.Quantization, commands, fn); err != nil {
+		quantization := req.Quantization
+		if req.Quantize != "" {
+			quantization = req.Quantize
+		}
+
+		if err := CreateModel(ctx, name.String(), filepath.Dir(req.Path), strings.ToUpper(quantization), modelfile, fn); err != nil {
 			ch <- gin.H{"error": err.Error()}
 		}
 	}()
@@ -732,69 +711,86 @@ func GetModelInfo(req api.ShowRequest) (*api.ShowResponse, error) {
 	fmt.Fprintln(&sb, "# Modelfile generate by \"ollama show\"")
 	fmt.Fprintln(&sb, "# To build a new Modelfile based on this, replace FROM with:")
 	fmt.Fprintf(&sb, "# FROM %s\n\n", model.ShortName)
-	fmt.Fprint(&sb, parser.Format(model.Commands()))
+	fmt.Fprint(&sb, model.String())
 	resp.Modelfile = sb.String()
 
 	return resp, nil
 }
 
 func (s *Server) ListModelsHandler(c *gin.Context) {
-	models := make([]api.ModelResponse, 0)
-	manifestsPath, err := GetManifestPath()
+	manifests, err := GetManifestPath()
 	if err != nil {
 		c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
 		return
 	}
 
-	modelResponse := func(modelName string) (api.ModelResponse, error) {
-		model, err := GetModel(modelName)
-		if err != nil {
-			return api.ModelResponse{}, err
-		}
-
-		modelDetails := api.ModelDetails{
-			Format:            model.Config.ModelFormat,
-			Family:            model.Config.ModelFamily,
-			Families:          model.Config.ModelFamilies,
-			ParameterSize:     model.Config.ModelType,
-			QuantizationLevel: model.Config.FileType,
-		}
-
-		return api.ModelResponse{
-			Model:   model.ShortName,
-			Name:    model.ShortName,
-			Size:    model.Size,
-			Digest:  model.Digest,
-			Details: modelDetails,
-		}, nil
-	}
-
-	walkFunc := func(path string, info os.FileInfo, _ error) error {
+	var models []api.ModelResponse
+	if err := filepath.Walk(manifests, func(path string, info os.FileInfo, _ error) error {
 		if !info.IsDir() {
-			path, tag := filepath.Split(path)
-			model := strings.Trim(strings.TrimPrefix(path, manifestsPath), string(os.PathSeparator))
-			modelPath := strings.Join([]string{model, tag}, ":")
-			canonicalModelPath := strings.ReplaceAll(modelPath, string(os.PathSeparator), "/")
-
-			resp, err := modelResponse(canonicalModelPath)
+			rel, err := filepath.Rel(manifests, path)
 			if err != nil {
-				slog.Info(fmt.Sprintf("skipping file: %s", canonicalModelPath))
-				// nolint: nilerr
+				return err
+			}
+
+			if hidden, err := filepath.Match(".*", filepath.Base(rel)); err != nil {
+				return err
+			} else if hidden {
 				return nil
 			}
 
-			resp.ModifiedAt = info.ModTime()
-			models = append(models, resp)
+			n := model.ParseNameFromFilepath(rel)
+			if !n.IsValid() {
+				slog.Warn("bad manifest filepath", "path", rel)
+				return nil
+			}
+
+			m, err := ParseNamedManifest(n)
+			if err != nil {
+				slog.Warn("bad manifest", "name", n, "error", err)
+				return nil
+			}
+
+			f, err := m.Config.Open()
+			if err != nil {
+				slog.Warn("bad manifest config filepath", "name", n, "error", err)
+				return nil
+			}
+			defer f.Close()
+
+			var c ConfigV2
+			if err := json.NewDecoder(f).Decode(&c); err != nil {
+				slog.Warn("bad manifest config", "name", n, "error", err)
+				return nil
+			}
+
+			// tag should never be masked
+			models = append(models, api.ModelResponse{
+				Model:      n.DisplayShortest(),
+				Name:       n.DisplayShortest(),
+				Size:       m.Size(),
+				Digest:     m.Digest,
+				ModifiedAt: info.ModTime(),
+				Details: api.ModelDetails{
+					Format:            c.ModelFormat,
+					Family:            c.ModelFamily,
+					Families:          c.ModelFamilies,
+					ParameterSize:     c.ModelType,
+					QuantizationLevel: c.FileType,
+				},
+			})
 		}
 
 		return nil
-	}
-
-	if err := filepath.Walk(manifestsPath, walkFunc); err != nil {
+	}); err != nil {
 		c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
 		return
 	}
 
+	slices.SortStableFunc(models, func(i, j api.ModelResponse) int {
+		// most recently modified first
+		return cmp.Compare(j.ModifiedAt.Unix(), i.ModifiedAt.Unix())
+	})
+
 	c.JSON(http.StatusOK, api.ListResponse{Models: models})
 }
 
@@ -816,7 +812,7 @@ func (s *Server) CopyModelHandler(c *gin.Context) {
 
 	dst := model.ParseName(r.Destination)
 	if !dst.IsValid() {
-		c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": fmt.Sprintf("destination %q is invalid", r.Source)})
+		c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": fmt.Sprintf("destination %q is invalid", r.Destination)})
 		return
 	}
 
@@ -872,20 +868,9 @@ func (s *Server) CreateBlobHandler(c *gin.Context) {
 		return
 	}
 
-	if _, err := layer.Commit(); err != nil {
-		c.AbortWithStatusJSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
-		return
-	}
-
 	c.Status(http.StatusCreated)
 }
 
-var defaultAllowOrigins = []string{
-	"localhost",
-	"127.0.0.1",
-	"0.0.0.0",
-}
-
 func isLocalIP(ip netip.Addr) bool {
 	if interfaces, err := net.Interfaces(); err == nil {
 		for _, iface := range interfaces {
@@ -957,6 +942,11 @@ func allowedHostsMiddleware(addr net.Addr) gin.HandlerFunc {
 		}
 
 		if allowedHost(host) {
+			if c.Request.Method == "OPTIONS" {
+				c.AbortWithStatus(http.StatusNoContent)
+				return
+			}
+
 			c.Next()
 			return
 		}
@@ -969,19 +959,8 @@ func (s *Server) GenerateRoutes() http.Handler {
 	config := cors.DefaultConfig()
 	config.AllowWildcard = true
 	config.AllowBrowserExtensions = true
-
-	if allowedOrigins := strings.Trim(os.Getenv("OLLAMA_ORIGINS"), "\"'"); allowedOrigins != "" {
-		config.AllowOrigins = strings.Split(allowedOrigins, ",")
-	}
-
-	for _, allowOrigin := range defaultAllowOrigins {
-		config.AllowOrigins = append(config.AllowOrigins,
-			fmt.Sprintf("http://%s", allowOrigin),
-			fmt.Sprintf("https://%s", allowOrigin),
-			fmt.Sprintf("http://%s:*", allowOrigin),
-			fmt.Sprintf("https://%s:*", allowOrigin),
-		)
-	}
+	config.AllowHeaders = []string{"Authorization", "Content-Type", "User-Agent", "Accept", "X-Requested-With"}
+	config.AllowOrigins = envconfig.AllowOrigins
 
 	r := gin.Default()
 	r.Use(
@@ -1020,10 +999,11 @@ func (s *Server) GenerateRoutes() http.Handler {
 
 func Serve(ln net.Listener) error {
 	level := slog.LevelInfo
-	if debug := os.Getenv("OLLAMA_DEBUG"); debug != "" {
+	if envconfig.Debug {
 		level = slog.LevelDebug
 	}
 
+	slog.Info("server config", "env", envconfig.AsMap())
 	handler := slog.NewTextHandler(os.Stderr, &slog.HandlerOptions{
 		Level:     level,
 		AddSource: true,
@@ -1047,7 +1027,7 @@ func Serve(ln net.Listener) error {
 		return err
 	}
 
-	if noprune := os.Getenv("OLLAMA_NOPRUNE"); noprune == "" {
+	if !envconfig.NoPrune {
 		// clean up unused layers and manifests
 		if err := PruneLayers(); err != nil {
 			return err
@@ -1064,7 +1044,8 @@ func Serve(ln net.Listener) error {
 	}
 
 	ctx, done := context.WithCancel(context.Background())
-	sched := InitScheduler(ctx)
+	schedCtx, schedDone := context.WithCancel(ctx)
+	sched := InitScheduler(schedCtx)
 	s := &Server{addr: ln.Addr(), sched: sched}
 	r := s.GenerateRoutes()
 
@@ -1078,23 +1059,32 @@ func Serve(ln net.Listener) error {
 	signal.Notify(signals, syscall.SIGINT, syscall.SIGTERM)
 	go func() {
 		<-signals
-		done()
+		srvr.Close()
+		schedDone()
 		sched.unloadAllRunners()
 		gpu.Cleanup()
-		os.Exit(0)
+		done()
 	}()
 
 	if err := llm.Init(); err != nil {
 		return fmt.Errorf("unable to initialize llm library %w", err)
 	}
 
-	s.sched.Run(ctx)
+	s.sched.Run(schedCtx)
 
 	// At startup we retrieve GPU information so we can get log messages before loading a model
 	// This will log warnings to the log in case we have problems with detected GPUs
-	_ = gpu.GetGPUInfo()
+	gpus := gpu.GetGPUInfo()
+	gpus.LogDetails()
 
-	return srvr.Serve(ln)
+	err = srvr.Serve(ln)
+	// If server is closed from the signal handler, wait for the ctx to be done
+	// otherwise error out quickly
+	if !errors.Is(err, http.ErrServerClosed) {
+		return err
+	}
+	<-ctx.Done()
+	return err
 }
 
 func waitForStream(c *gin.Context, ch chan interface{}) {
@@ -1203,10 +1193,6 @@ func (s *Server) ChatHandler(c *gin.Context) {
 
 	opts, err := modelOptions(model, req.Options)
 	if err != nil {
-		if errors.Is(err, api.ErrInvalidOpts) {
-			c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
-			return
-		}
 		c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
 		return
 	}
@@ -1223,12 +1209,7 @@ func (s *Server) ChatHandler(c *gin.Context) {
 	select {
 	case runner = <-rCh:
 	case err = <-eCh:
-		if errors.Is(err, context.Canceled) {
-			c.JSON(499, gin.H{"error": "request canceled"})
-			return
-		}
-
-		c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
+		handleErrorResponse(c, err)
 		return
 	}
 
@@ -1253,10 +1234,11 @@ func (s *Server) ChatHandler(c *gin.Context) {
 	// an empty request loads the model
 	if len(req.Messages) == 0 || prompt == "" {
 		resp := api.ChatResponse{
-			CreatedAt: time.Now().UTC(),
-			Model:     req.Model,
-			Done:      true,
-			Message:   api.Message{Role: "assistant"},
+			CreatedAt:  time.Now().UTC(),
+			Model:      req.Model,
+			Done:       true,
+			DoneReason: "load",
+			Message:    api.Message{Role: "assistant"},
 		}
 		c.JSON(http.StatusOK, resp)
 		return
@@ -1289,10 +1271,11 @@ func (s *Server) ChatHandler(c *gin.Context) {
 		fn := func(r llm.CompletionResponse) {
 
 			resp := api.ChatResponse{
-				Model:     req.Model,
-				CreatedAt: time.Now().UTC(),
-				Message:   api.Message{Role: "assistant", Content: r.Content},
-				Done:      r.Done,
+				Model:      req.Model,
+				CreatedAt:  time.Now().UTC(),
+				Message:    api.Message{Role: "assistant", Content: r.Content},
+				Done:       r.Done,
+				DoneReason: r.DoneReason,
 				Metrics: api.Metrics{
 					PromptEvalCount:    r.PromptEvalCount,
 					PromptEvalDuration: r.PromptEvalDuration,
@@ -1349,3 +1332,15 @@ func (s *Server) ChatHandler(c *gin.Context) {
 
 	streamResponse(c, ch)
 }
+
+func handleErrorResponse(c *gin.Context, err error) {
+	if errors.Is(err, context.Canceled) {
+		c.JSON(499, gin.H{"error": "request canceled"})
+		return
+	}
+	if errors.Is(err, ErrMaxQueue) {
+		c.JSON(http.StatusServiceUnavailable, gin.H{"error": err.Error()})
+		return
+	}
+	c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
+}

server/routes_test.go

@@ -17,7 +17,7 @@ import (
 	"github.com/stretchr/testify/assert"
 
 	"github.com/ollama/ollama/api"
-	"github.com/ollama/ollama/parser"
+	"github.com/ollama/ollama/types/model"
 	"github.com/ollama/ollama/version"
 )
 
@@ -55,13 +55,13 @@ func Test_Routes(t *testing.T) {
 	createTestModel := func(t *testing.T, name string) {
 		fname := createTestFile(t, "ollama-model")
 
-		modelfile := strings.NewReader(fmt.Sprintf("FROM %s\nPARAMETER seed 42\nPARAMETER top_p 0.9\nPARAMETER stop foo\nPARAMETER stop bar", fname))
-		commands, err := parser.Parse(modelfile)
+		r := strings.NewReader(fmt.Sprintf("FROM %s\nPARAMETER seed 42\nPARAMETER top_p 0.9\nPARAMETER stop foo\nPARAMETER stop bar", fname))
+		modelfile, err := model.ParseFile(r)
 		assert.Nil(t, err)
 		fn := func(resp api.ProgressResponse) {
 			t.Logf("Status: %s", resp.Status)
 		}
-		err = CreateModel(context.TODO(), name, "", "", commands, fn)
+		err = CreateModel(context.TODO(), name, "", "", modelfile, fn)
 		assert.Nil(t, err)
 	}
 
@@ -124,14 +124,12 @@ func Test_Routes(t *testing.T) {
 			Method: http.MethodPost,
 			Path:   "/api/create",
 			Setup: func(t *testing.T, req *http.Request) {
-				f, err := os.CreateTemp(t.TempDir(), "ollama-model")
-				assert.Nil(t, err)
-				defer f.Close()
+				fname := createTestFile(t, "ollama-model")
 
 				stream := false
 				createReq := api.CreateRequest{
 					Name:      "t-bone",
-					Modelfile: fmt.Sprintf("FROM %s", f.Name()),
+					Modelfile: fmt.Sprintf("FROM %s", fname),
 					Stream:    &stream,
 				}
 				jsonData, err := json.Marshal(createReq)
@@ -216,27 +214,25 @@ func Test_Routes(t *testing.T) {
 	httpSrv := httptest.NewServer(router)
 	t.Cleanup(httpSrv.Close)
 
-	workDir, err := os.MkdirTemp("", "ollama-test")
-	assert.Nil(t, err)
-	defer os.RemoveAll(workDir)
-	os.Setenv("OLLAMA_MODELS", workDir)
+	t.Setenv("OLLAMA_MODELS", t.TempDir())
 
 	for _, tc := range testCases {
-		t.Logf("Running Test: [%s]", tc.Name)
-		u := httpSrv.URL + tc.Path
-		req, err := http.NewRequestWithContext(context.TODO(), tc.Method, u, nil)
-		assert.Nil(t, err)
+		t.Run(tc.Name, func(t *testing.T) {
+			u := httpSrv.URL + tc.Path
+			req, err := http.NewRequestWithContext(context.TODO(), tc.Method, u, nil)
+			assert.Nil(t, err)
 
-		if tc.Setup != nil {
-			tc.Setup(t, req)
-		}
+			if tc.Setup != nil {
+				tc.Setup(t, req)
+			}
 
-		resp, err := httpSrv.Client().Do(req)
-		assert.Nil(t, err)
-		defer resp.Body.Close()
+			resp, err := httpSrv.Client().Do(req)
+			assert.Nil(t, err)
+			defer resp.Body.Close()
 
-		if tc.Expected != nil {
-			tc.Expected(t, resp)
-		}
+			if tc.Expected != nil {
+				tc.Expected(t, resp)
+			}
+		})
 	}
 }

server/sched.go

@@ -5,10 +5,8 @@ import (
 	"errors"
 	"fmt"
 	"log/slog"
-	"os"
 	"reflect"
 	"sort"
-	"strconv"
 	"strings"
 	"sync"
 	"time"
@@ -17,6 +15,7 @@ import (
 	"github.com/ollama/ollama/format"
 	"github.com/ollama/ollama/gpu"
 	"github.com/ollama/ollama/llm"
+	"github.com/ollama/ollama/server/envconfig"
 	"golang.org/x/exp/slices"
 )
 
@@ -43,35 +42,14 @@ type Scheduler struct {
 	getGpuFn    func() gpu.GpuInfoList
 }
 
-// TODO set this to zero after a release or two, to enable multiple models by default
-var loadedMax = 1          // Maximum runners; < 1 maps to as many as will fit in VRAM (unlimited for CPU runners)
-var maxQueuedRequests = 10 // TODO configurable
-var numParallel = 1
+var ErrMaxQueue = fmt.Errorf("server busy, please try again.  maximum pending requests exceeded")
 
 func InitScheduler(ctx context.Context) *Scheduler {
-	maxRunners := os.Getenv("OLLAMA_MAX_LOADED_MODELS")
-	if maxRunners != "" {
-		m, err := strconv.Atoi(maxRunners)
-		if err != nil {
-			slog.Error("invalid setting", "OLLAMA_MAX_LOADED_MODELS", maxRunners, "error", err)
-		} else {
-			loadedMax = m
-		}
-	}
-	if onp := os.Getenv("OLLAMA_NUM_PARALLEL"); onp != "" {
-		p, err := strconv.Atoi(onp)
-		if err != nil || p <= 0 {
-			slog.Error("invalid parallel setting, must be greater than zero", "OLLAMA_NUM_PARALLEL", onp, "error", err)
-		} else {
-			numParallel = p
-		}
-	}
-
 	sched := &Scheduler{
-		pendingReqCh:  make(chan *LlmRequest, maxQueuedRequests),
-		finishedReqCh: make(chan *LlmRequest, maxQueuedRequests),
-		expiredCh:     make(chan *runnerRef, maxQueuedRequests),
-		unloadedCh:    make(chan interface{}, maxQueuedRequests),
+		pendingReqCh:  make(chan *LlmRequest, envconfig.MaxQueuedRequests),
+		finishedReqCh: make(chan *LlmRequest, envconfig.MaxQueuedRequests),
+		expiredCh:     make(chan *runnerRef, envconfig.MaxQueuedRequests),
+		unloadedCh:    make(chan interface{}, envconfig.MaxQueuedRequests),
 		loaded:        make(map[string]*runnerRef),
 		newServerFn:   llm.NewLlamaServer,
 		getGpuFn:      gpu.GetGPUInfo,
@@ -82,6 +60,13 @@ func InitScheduler(ctx context.Context) *Scheduler {
 
 // context must be canceled to decrement ref count and release the runner
 func (s *Scheduler) GetRunner(c context.Context, model *Model, opts api.Options, sessionDuration time.Duration) (chan *runnerRef, chan error) {
+	// allocate a large enough kv cache for all parallel requests
+	if opts.NumCtx < 4 {
+		opts.NumCtx = 4
+	}
+
+	opts.NumCtx = opts.NumCtx * envconfig.NumParallel
+
 	req := &LlmRequest{
 		ctx:             c,
 		model:           model,
@@ -90,12 +75,11 @@ func (s *Scheduler) GetRunner(c context.Context, model *Model, opts api.Options,
 		successCh:       make(chan *runnerRef),
 		errCh:           make(chan error, 1),
 	}
-	// context split across parallel threads
-	opts.NumCtx = opts.NumCtx * numParallel
+
 	select {
 	case s.pendingReqCh <- req:
 	default:
-		req.errCh <- fmt.Errorf("server busy, please try again.  maximum pending requests exceeded")
+		req.errCh <- ErrMaxQueue
 	}
 	return req.successCh, req.errCh
 }
@@ -120,6 +104,12 @@ func (s *Scheduler) processPending(ctx context.Context) {
 			return
 		case pending := <-s.pendingReqCh:
 			// Block other requests until we get this pending request running
+
+			if pending.ctx.Err() != nil {
+				slog.Debug("pending request cancelled or timed out, skipping scheduling")
+				continue
+			}
+
 			for {
 				var runnerToExpire *runnerRef
 				s.loadedMu.Lock()
@@ -134,11 +124,11 @@ func (s *Scheduler) processPending(ctx context.Context) {
 						pending.useLoadedRunner(runner, s.finishedReqCh)
 						break
 					}
-				} else if loadedMax > 0 && loadedCount >= loadedMax {
+				} else if envconfig.MaxRunners > 0 && loadedCount >= envconfig.MaxRunners {
 					slog.Debug("max runners achieved, unloading one to make room", "runner_count", loadedCount)
-					runnerToExpire = s.findRunnerToUnload(pending)
+					runnerToExpire = s.findRunnerToUnload()
 				} else {
-					// Either no models are loaded or below loadedMax
+					// Either no models are loaded or below envconfig.MaxRunners
 					// Get a refreshed GPU list
 					gpus := s.getGpuFn()
 
@@ -149,7 +139,7 @@ func (s *Scheduler) processPending(ctx context.Context) {
 						break
 					}
 
-					// If we're CPU only mode, just limit by loadedMax above
+					// If we're CPU only mode, just limit by envconfig.MaxRunners above
 					// TODO handle system memory exhaustion
 					if (len(gpus) == 1 && gpus[0].Library == "cpu") || pending.opts.NumGPU == 0 {
 						slog.Debug("cpu mode with existing models, loading")
@@ -177,7 +167,7 @@ func (s *Scheduler) processPending(ctx context.Context) {
 						s.loadFn(pending, ggml, gpus)
 						break
 					}
-					runnerToExpire = s.findRunnerToUnload(pending)
+					runnerToExpire = s.findRunnerToUnload()
 				}
 
 				if runnerToExpire == nil {
@@ -277,13 +267,16 @@ func (s *Scheduler) processCompleted(ctx context.Context) {
 				continue
 			}
 
-			slog.Debug("got lock to unload", "model", runner.model)
-			runner.unload()
 			s.loadedMu.Lock()
+			slog.Debug("got lock to unload", "model", runner.model)
+			finished := runner.waitForVRAMRecovery()
+			runner.unload()
 			delete(s.loaded, runner.model)
 			s.loadedMu.Unlock()
 			slog.Debug("runner released", "model", runner.model)
 			runner.refMu.Unlock()
+
+			<-finished
 			slog.Debug("sending an unloaded event", "model", runner.model)
 			s.unloadedCh <- struct{}{}
 		}
@@ -455,6 +448,10 @@ func (runner *runnerRef) needsReload(ctx context.Context, req *LlmRequest) bool
 		timeout = 2 * time.Minute // Initial load can take a long time for big models on slow systems...
 	}
 
+	if runner.Options == nil {
+		return true
+	}
+
 	// Don't reload runner if num_gpu=-1 was provided
 	optsExisting := runner.Options.Runner
 	optsNew := req.opts.Runner
@@ -475,6 +472,61 @@ func (runner *runnerRef) needsReload(ctx context.Context, req *LlmRequest) bool
 	return false
 }
 
+// Free memory reporting on GPUs can lag for a while even after the runner
+// exits, so we have to keep checking until we see the available memory recover,
+// otherwise subsequent model loads will get far less layers loaded or worse
+// case, may completely fall back to CPU mode.
+// This routine must be called before the runner unloads so it can establish
+// a before and after GPU memory allocation.  The returned channel
+// will be notified when we're done waiting, or have timed out and should
+// proceed anyway
+func (runner *runnerRef) waitForVRAMRecovery() chan interface{} {
+	finished := make(chan interface{}, 1)
+
+	// CPU or Metal don't need checking, so no waiting required
+	if len(runner.gpus) == 1 && (runner.gpus[0].Library == "cpu" || runner.gpus[0].Library == "metal") {
+		finished <- struct{}{}
+		return finished
+	}
+	start := time.Now()
+
+	// Establish a baseline before we unload
+	gpusBefore := gpu.GetGPUInfo()
+	var totalMemoryBefore, freeMemoryBefore uint64
+	for _, gpu := range gpusBefore {
+		totalMemoryBefore += gpu.TotalMemory
+		freeMemoryBefore += gpu.FreeMemory
+	}
+	go func() {
+		expiresAt := start.Add(5 * time.Second) // typical convergence is 0.5-1.5s
+		ticker := time.NewTicker(250 * time.Millisecond)
+		defer ticker.Stop()
+		for {
+			<-ticker.C
+			if time.Now().After(expiresAt) {
+				slog.Warn("gpu VRAM usage didn't recover within timeout", "seconds", time.Since(start).Seconds())
+				finished <- struct{}{}
+			}
+
+			// Query GPUs, look for free to go back up
+			gpusNow := gpu.GetGPUInfo()
+			var totalMemoryNow, freeMemoryNow uint64
+			for _, gpu := range gpusNow {
+				totalMemoryNow += gpu.TotalMemory
+				freeMemoryNow += gpu.FreeMemory
+			}
+			// If we're within ~80% of the estimated memory usage recovered, bail out
+			if float32(freeMemoryNow-freeMemoryBefore) > float32(runner.estimatedVRAM)*0.8 {
+				slog.Debug(fmt.Sprintf("gpu VRAM free memory converged after %0.2f seconds", time.Since(start).Seconds()))
+				finished <- struct{}{}
+				return
+			}
+		}
+	}()
+	return finished
+
+}
+
 type ByDuration []*runnerRef
 
 func (a ByDuration) Len() int      { return len(a) }
@@ -515,16 +567,16 @@ func pickBestFitGPUs(req *LlmRequest, ggml *llm.GGML, gpus gpu.GpuInfoList) gpu.
 		// - try subsets of GPUs instead of just falling back to 1 or all in a family
 
 		// Now try all the GPUs
-		if ok, estimatedVRAM = llm.PredictServerFit(gl, ggml, req.model.AdapterPaths, req.model.ProjectorPaths, req.opts); ok {
-			slog.Debug("new model will fit in available VRAM, loading", "model", req.model.ModelPath, "library", gl[0].Library, "required", format.HumanBytes2(estimatedVRAM))
-			return gl
+		if ok, estimatedVRAM = llm.PredictServerFit(sgl, ggml, req.model.AdapterPaths, req.model.ProjectorPaths, req.opts); ok {
+			slog.Debug("new model will fit in available VRAM, loading", "model", req.model.ModelPath, "library", sgl[0].Library, "required", format.HumanBytes2(estimatedVRAM))
+			return sgl
 		}
 	}
 	return nil
 }
 
 // findRunnerToUnload finds a runner to unload to make room for a new model
-func (s *Scheduler) findRunnerToUnload(req *LlmRequest) *runnerRef {
+func (s *Scheduler) findRunnerToUnload() *runnerRef {
 	s.loadedMu.Lock()
 	runnerList := make([]*runnerRef, 0, len(s.loaded))
 	for _, r := range s.loaded {

server/sched_test.go

@@ -15,6 +15,7 @@ import (
 	"github.com/ollama/ollama/format"
 	"github.com/ollama/ollama/gpu"
 	"github.com/ollama/ollama/llm"
+	"github.com/ollama/ollama/server/envconfig"
 	"github.com/stretchr/testify/assert"
 	"github.com/stretchr/testify/require"
 )
@@ -27,38 +28,14 @@ func init() {
 func TestInitScheduler(t *testing.T) {
 	ctx, done := context.WithCancel(context.Background())
 	defer done()
-	initialMax := loadedMax
-	initialParallel := numParallel
 	s := InitScheduler(ctx)
-	require.Equal(t, initialMax, loadedMax)
 	s.loadedMu.Lock()
 	require.NotNil(t, s.loaded)
 	s.loadedMu.Unlock()
-
-	os.Setenv("OLLAMA_MAX_LOADED_MODELS", "blue")
-	s = InitScheduler(ctx)
-	require.Equal(t, initialMax, loadedMax)
-	s.loadedMu.Lock()
-	require.NotNil(t, s.loaded)
-	s.loadedMu.Unlock()
-
-	os.Setenv("OLLAMA_MAX_LOADED_MODELS", "0")
-	s = InitScheduler(ctx)
-	require.Equal(t, 0, loadedMax)
-	s.loadedMu.Lock()
-	require.NotNil(t, s.loaded)
-	s.loadedMu.Unlock()
-
-	os.Setenv("OLLAMA_NUM_PARALLEL", "blue")
-	_ = InitScheduler(ctx)
-	require.Equal(t, initialParallel, numParallel)
-	os.Setenv("OLLAMA_NUM_PARALLEL", "10")
-	_ = InitScheduler(ctx)
-	require.Equal(t, 10, numParallel)
 }
 
 func TestLoad(t *testing.T) {
-	ctx, done := context.WithTimeout(context.Background(), 5*time.Millisecond)
+	ctx, done := context.WithTimeout(context.Background(), 20*time.Millisecond)
 	defer done()
 	s := InitScheduler(ctx)
 	var ggml *llm.GGML // value not used in tests
@@ -174,7 +151,7 @@ func newScenario(t *testing.T, ctx context.Context, modelName string, estimatedV
 }
 
 func TestRequests(t *testing.T) {
-	ctx, done := context.WithTimeout(context.Background(), 100*time.Millisecond)
+	ctx, done := context.WithTimeout(context.Background(), 500*time.Millisecond)
 	defer done()
 
 	// Same model, same request
@@ -249,7 +226,7 @@ func TestRequests(t *testing.T) {
 		t.Errorf("timeout")
 	}
 
-	loadedMax = 1
+	envconfig.MaxRunners = 1
 	s.newServerFn = scenario3a.newServer
 	slog.Info("scenario3a")
 	s.pendingReqCh <- scenario3a.req
@@ -268,7 +245,7 @@ func TestRequests(t *testing.T) {
 	require.Len(t, s.loaded, 1)
 	s.loadedMu.Unlock()
 
-	loadedMax = 0
+	envconfig.MaxRunners = 0
 	s.newServerFn = scenario3b.newServer
 	slog.Info("scenario3b")
 	s.pendingReqCh <- scenario3b.req
@@ -329,7 +306,7 @@ func TestRequests(t *testing.T) {
 }
 
 func TestGetRunner(t *testing.T) {
-	ctx, done := context.WithTimeout(context.Background(), 20*time.Millisecond)
+	ctx, done := context.WithTimeout(context.Background(), 100*time.Millisecond)
 	defer done()
 
 	// Same model, same request
@@ -339,7 +316,7 @@ func TestGetRunner(t *testing.T) {
 	scenario1b.req.sessionDuration = 0
 	scenario1c := newScenario(t, ctx, "ollama-model-1c", 10)
 	scenario1c.req.sessionDuration = 0
-	maxQueuedRequests = 1
+	envconfig.MaxQueuedRequests = 1
 	s := InitScheduler(ctx)
 	s.getGpuFn = func() gpu.GpuInfoList {
 		g := gpu.GpuInfo{Library: "metal"}
@@ -375,11 +352,9 @@ func TestGetRunner(t *testing.T) {
 	scenario1c.req.model.ModelPath = "bad path"
 	slog.Info("scenario1c")
 	successCh1c, errCh1c := s.GetRunner(scenario1c.ctx, scenario1c.req.model, scenario1c.req.opts, scenario1c.req.sessionDuration)
-	require.Len(t, s.pendingReqCh, 0)
-	require.Len(t, successCh1c, 0)
-	require.Len(t, errCh1c, 0)
-
+	// Starts in pending channel, then should be quickly processsed to return an error
 	time.Sleep(5 * time.Millisecond)
+	require.Len(t, successCh1c, 0)
 	s.loadedMu.Lock()
 	require.Len(t, s.loaded, 0)
 	s.loadedMu.Unlock()
@@ -391,7 +366,7 @@ func TestGetRunner(t *testing.T) {
 
 // TODO - add one scenario that triggers the bogus finished event with positive ref count
 func TestPrematureExpired(t *testing.T) {
-	ctx, done := context.WithTimeout(context.Background(), 100*time.Millisecond)
+	ctx, done := context.WithTimeout(context.Background(), 500*time.Millisecond)
 	defer done()
 
 	// Same model, same request
@@ -436,7 +411,7 @@ func TestPrematureExpired(t *testing.T) {
 }
 
 func TestUseLoadedRunner(t *testing.T) {
-	ctx, done := context.WithTimeout(context.Background(), 5*time.Millisecond)
+	ctx, done := context.WithTimeout(context.Background(), 100*time.Millisecond)
 	req := &LlmRequest{
 		ctx:             ctx,
 		opts:            api.DefaultOptions(),
@@ -461,7 +436,7 @@ func TestUseLoadedRunner(t *testing.T) {
 }
 
 func TestUpdateFreeSpace(t *testing.T) {
-	ctx, done := context.WithTimeout(context.Background(), 5*time.Millisecond)
+	ctx, done := context.WithTimeout(context.Background(), 100*time.Millisecond)
 	defer done()
 	gpus := gpu.GpuInfoList{
 		{
@@ -494,12 +469,9 @@ func TestUpdateFreeSpace(t *testing.T) {
 }
 
 func TestFindRunnerToUnload(t *testing.T) {
-	ctx, done := context.WithTimeout(context.Background(), 5*time.Millisecond)
+	ctx, done := context.WithTimeout(context.Background(), 100*time.Millisecond)
 	defer done()
-	req := &LlmRequest{
-		ctx:  ctx,
-		opts: api.DefaultOptions(),
-	}
+
 	r1 := &runnerRef{refCount: 1, sessionDuration: 1}
 	r2 := &runnerRef{sessionDuration: 2}
 
@@ -509,16 +481,16 @@ func TestFindRunnerToUnload(t *testing.T) {
 	s.loaded["b"] = r2
 	s.loadedMu.Unlock()
 
-	resp := s.findRunnerToUnload(req)
+	resp := s.findRunnerToUnload()
 	require.Equal(t, r2, resp)
 	r2.refCount = 1
-	resp = s.findRunnerToUnload(req)
+	resp = s.findRunnerToUnload()
 	require.Equal(t, r1, resp)
 
 }
 
 func TestNeedsReload(t *testing.T) {
-	ctx, done := context.WithTimeout(context.Background(), 5*time.Millisecond)
+	ctx, done := context.WithTimeout(context.Background(), 100*time.Millisecond)
 	defer done()
 
 	llm := &mockLlm{}
@@ -562,7 +534,7 @@ func TestNeedsReload(t *testing.T) {
 }
 
 func TestUnloadAllRunners(t *testing.T) {
-	ctx, done := context.WithTimeout(context.Background(), 5*time.Millisecond)
+	ctx, done := context.WithTimeout(context.Background(), 100*time.Millisecond)
 	defer done()
 
 	llm1 := &mockLlm{}

types/model/file.go

@@ -1,4 +1,4 @@
-package parser
+package model
 
 import (
 	"bufio"
@@ -10,11 +10,41 @@ import (
 	"strings"
 )
 
+type File struct {
+	Commands []Command
+}
+
+func (f File) String() string {
+	var sb strings.Builder
+	for _, cmd := range f.Commands {
+		fmt.Fprintln(&sb, cmd.String())
+	}
+
+	return sb.String()
+}
+
 type Command struct {
 	Name string
 	Args string
 }
 
+func (c Command) String() string {
+	var sb strings.Builder
+	switch c.Name {
+	case "model":
+		fmt.Fprintf(&sb, "FROM %s", c.Args)
+	case "license", "template", "system", "adapter":
+		fmt.Fprintf(&sb, "%s %s", strings.ToUpper(c.Name), quote(c.Args))
+	case "message":
+		role, message, _ := strings.Cut(c.Args, ": ")
+		fmt.Fprintf(&sb, "MESSAGE %s %s", role, quote(message))
+	default:
+		fmt.Fprintf(&sb, "PARAMETER %s %s", c.Name, quote(c.Args))
+	}
+
+	return sb.String()
+}
+
 type state int
 
 const (
@@ -32,38 +62,14 @@ var (
 	errInvalidCommand     = errors.New("command must be one of \"from\", \"license\", \"template\", \"system\", \"adapter\", \"parameter\", or \"message\"")
 )
 
-func Format(cmds []Command) string {
-	var sb strings.Builder
-	for _, cmd := range cmds {
-		name := cmd.Name
-		args := cmd.Args
-
-		switch cmd.Name {
-		case "model":
-			name = "from"
-			args = cmd.Args
-		case "license", "template", "system", "adapter":
-			args = quote(args)
-		case "message":
-			role, message, _ := strings.Cut(cmd.Args, ": ")
-			args = role + " " + quote(message)
-		default:
-			name = "parameter"
-			args = cmd.Name + " " + quote(cmd.Args)
-		}
-
-		fmt.Fprintln(&sb, strings.ToUpper(name), args)
-	}
-
-	return sb.String()
-}
-
-func Parse(r io.Reader) (cmds []Command, err error) {
+func ParseFile(r io.Reader) (*File, error) {
 	var cmd Command
 	var curr state
 	var b bytes.Buffer
 	var role string
 
+	var f File
+
 	br := bufio.NewReader(r)
 	for {
 		r, _, err := br.ReadRune()
@@ -128,7 +134,7 @@ func Parse(r io.Reader) (cmds []Command, err error) {
 				}
 
 				cmd.Args = s
-				cmds = append(cmds, cmd)
+				f.Commands = append(f.Commands, cmd)
 			}
 
 			b.Reset()
@@ -157,14 +163,14 @@ func Parse(r io.Reader) (cmds []Command, err error) {
 		}
 
 		cmd.Args = s
-		cmds = append(cmds, cmd)
+		f.Commands = append(f.Commands, cmd)
 	default:
 		return nil, io.ErrUnexpectedEOF
 	}
 
-	for _, cmd := range cmds {
+	for _, cmd := range f.Commands {
 		if cmd.Name == "model" {
-			return cmds, nil
+			return &f, nil
 		}
 	}
 
@@ -243,10 +249,6 @@ func quote(s string) string {
 }
 
 func unquote(s string) (string, bool) {
-	if len(s) == 0 {
-		return "", false
-	}
-
 	// TODO: single quotes
 	if len(s) >= 3 && s[:3] == `"""` {
 		if len(s) >= 6 && s[len(s)-3:] == `"""` {

types/model/file_test.go

@@ -1,4 +1,4 @@
-package parser
+package model
 
 import (
 	"bytes"
@@ -10,7 +10,7 @@ import (
 	"github.com/stretchr/testify/assert"
 )
 
-func TestParser(t *testing.T) {
+func TestParseFileFile(t *testing.T) {
 	input := `
 FROM model1
 ADAPTER adapter1
@@ -22,8 +22,8 @@ TEMPLATE template1
 
 	reader := strings.NewReader(input)
 
-	commands, err := Parse(reader)
-	assert.Nil(t, err)
+	modelfile, err := ParseFile(reader)
+	assert.NoError(t, err)
 
 	expectedCommands := []Command{
 		{Name: "model", Args: "model1"},
@@ -34,10 +34,10 @@ TEMPLATE template1
 		{Name: "template", Args: "template1"},
 	}
 
-	assert.Equal(t, expectedCommands, commands)
+	assert.Equal(t, expectedCommands, modelfile.Commands)
 }
 
-func TestParserFrom(t *testing.T) {
+func TestParseFileFrom(t *testing.T) {
 	var cases = []struct {
 		input    string
 		expected []Command
@@ -85,14 +85,16 @@ func TestParserFrom(t *testing.T) {
 
 	for _, c := range cases {
 		t.Run("", func(t *testing.T) {
-			commands, err := Parse(strings.NewReader(c.input))
+			modelfile, err := ParseFile(strings.NewReader(c.input))
 			assert.ErrorIs(t, err, c.err)
-			assert.Equal(t, c.expected, commands)
+			if modelfile != nil {
+				assert.Equal(t, c.expected, modelfile.Commands)
+			}
 		})
 	}
 }
 
-func TestParserParametersMissingValue(t *testing.T) {
+func TestParseFileParametersMissingValue(t *testing.T) {
 	input := `
 FROM foo
 PARAMETER param1
@@ -100,21 +102,21 @@ PARAMETER param1
 
 	reader := strings.NewReader(input)
 
-	_, err := Parse(reader)
+	_, err := ParseFile(reader)
 	assert.ErrorIs(t, err, io.ErrUnexpectedEOF)
 }
 
-func TestParserBadCommand(t *testing.T) {
+func TestParseFileBadCommand(t *testing.T) {
 	input := `
 FROM foo
 BADCOMMAND param1 value1
 `
-	_, err := Parse(strings.NewReader(input))
+	_, err := ParseFile(strings.NewReader(input))
 	assert.ErrorIs(t, err, errInvalidCommand)
 
 }
 
-func TestParserMessages(t *testing.T) {
+func TestParseFileMessages(t *testing.T) {
 	var cases = []struct {
 		input    string
 		expected []Command
@@ -123,34 +125,34 @@ func TestParserMessages(t *testing.T) {
 		{
 			`
 FROM foo
-MESSAGE system You are a Parser. Always Parse things.
+MESSAGE system You are a file parser. Always parse things.
 `,
 			[]Command{
 				{Name: "model", Args: "foo"},
-				{Name: "message", Args: "system: You are a Parser. Always Parse things."},
+				{Name: "message", Args: "system: You are a file parser. Always parse things."},
 			},
 			nil,
 		},
 		{
 			`
 FROM foo
-MESSAGE system You are a Parser. Always Parse things.`,
+MESSAGE system You are a file parser. Always parse things.`,
 			[]Command{
 				{Name: "model", Args: "foo"},
-				{Name: "message", Args: "system: You are a Parser. Always Parse things."},
+				{Name: "message", Args: "system: You are a file parser. Always parse things."},
 			},
 			nil,
 		},
 		{
 			`
 FROM foo
-MESSAGE system You are a Parser. Always Parse things.
+MESSAGE system You are a file parser. Always parse things.
 MESSAGE user Hey there!
 MESSAGE assistant Hello, I want to parse all the things!
 `,
 			[]Command{
 				{Name: "model", Args: "foo"},
-				{Name: "message", Args: "system: You are a Parser. Always Parse things."},
+				{Name: "message", Args: "system: You are a file parser. Always parse things."},
 				{Name: "message", Args: "user: Hey there!"},
 				{Name: "message", Args: "assistant: Hello, I want to parse all the things!"},
 			},
@@ -160,12 +162,12 @@ MESSAGE assistant Hello, I want to parse all the things!
 			`
 FROM foo
 MESSAGE system """
-You are a multiline Parser. Always Parse things.
+You are a multiline file parser. Always parse things.
 """
 			`,
 			[]Command{
 				{Name: "model", Args: "foo"},
-				{Name: "message", Args: "system: \nYou are a multiline Parser. Always Parse things.\n"},
+				{Name: "message", Args: "system: \nYou are a multiline file parser. Always parse things.\n"},
 			},
 			nil,
 		},
@@ -196,14 +198,16 @@ MESSAGE system`,
 
 	for _, c := range cases {
 		t.Run("", func(t *testing.T) {
-			commands, err := Parse(strings.NewReader(c.input))
+			modelfile, err := ParseFile(strings.NewReader(c.input))
 			assert.ErrorIs(t, err, c.err)
-			assert.Equal(t, c.expected, commands)
+			if modelfile != nil {
+				assert.Equal(t, c.expected, modelfile.Commands)
+			}
 		})
 	}
 }
 
-func TestParserQuoted(t *testing.T) {
+func TestParseFileQuoted(t *testing.T) {
 	var cases = []struct {
 		multiline string
 		expected  []Command
@@ -348,14 +352,16 @@ TEMPLATE """
 
 	for _, c := range cases {
 		t.Run("", func(t *testing.T) {
-			commands, err := Parse(strings.NewReader(c.multiline))
+			modelfile, err := ParseFile(strings.NewReader(c.multiline))
 			assert.ErrorIs(t, err, c.err)
-			assert.Equal(t, c.expected, commands)
+			if modelfile != nil {
+				assert.Equal(t, c.expected, modelfile.Commands)
+			}
 		})
 	}
 }
 
-func TestParserParameters(t *testing.T) {
+func TestParseFileParameters(t *testing.T) {
 	var cases = map[string]struct {
 		name, value string
 	}{
@@ -404,18 +410,18 @@ func TestParserParameters(t *testing.T) {
 			var b bytes.Buffer
 			fmt.Fprintln(&b, "FROM foo")
 			fmt.Fprintln(&b, "PARAMETER", k)
-			commands, err := Parse(&b)
-			assert.Nil(t, err)
+			modelfile, err := ParseFile(&b)
+			assert.NoError(t, err)
 
 			assert.Equal(t, []Command{
 				{Name: "model", Args: "foo"},
 				{Name: v.name, Args: v.value},
-			}, commands)
+			}, modelfile.Commands)
 		})
 	}
 }
 
-func TestParserComments(t *testing.T) {
+func TestParseFileComments(t *testing.T) {
 	var cases = []struct {
 		input    string
 		expected []Command
@@ -433,14 +439,14 @@ FROM foo
 
 	for _, c := range cases {
 		t.Run("", func(t *testing.T) {
-			commands, err := Parse(strings.NewReader(c.input))
-			assert.Nil(t, err)
-			assert.Equal(t, c.expected, commands)
+			modelfile, err := ParseFile(strings.NewReader(c.input))
+			assert.NoError(t, err)
+			assert.Equal(t, c.expected, modelfile.Commands)
 		})
 	}
 }
 
-func TestParseFormatParse(t *testing.T) {
+func TestParseFileFormatParseFile(t *testing.T) {
 	var cases = []string{
 		`
 FROM foo
@@ -449,7 +455,7 @@ LICENSE MIT
 PARAMETER param1 value1
 PARAMETER param2 value2
 TEMPLATE template1
-MESSAGE system You are a Parser. Always Parse things.
+MESSAGE system You are a file parser. Always parse things.
 MESSAGE user Hey there!
 MESSAGE assistant Hello, I want to parse all the things!
 `,
@@ -483,18 +489,22 @@ You are a store greeter. Always responsed with "Hello!".
 """
 MESSAGE user Hey there!
 MESSAGE assistant Hello, I want to parse all the things!
+`,
+		`
+FROM foo
+SYSTEM ""
 `,
 	}
 
 	for _, c := range cases {
 		t.Run("", func(t *testing.T) {
-			commands, err := Parse(strings.NewReader(c))
+			modelfile, err := ParseFile(strings.NewReader(c))
 			assert.NoError(t, err)
 
-			commands2, err := Parse(strings.NewReader(Format(commands)))
+			modelfile2, err := ParseFile(strings.NewReader(modelfile.String()))
 			assert.NoError(t, err)
 
-			assert.Equal(t, commands, commands2)
+			assert.Equal(t, modelfile, modelfile2)
 		})
 	}
 

types/model/name.go

@@ -35,6 +35,12 @@ func Unqualified(n Name) error {
 // spot in logs.
 const MissingPart = "!MISSING!"
 
+const (
+	defaultHost      = "registry.ollama.ai"
+	defaultNamespace = "library"
+	defaultTag       = "latest"
+)
+
 // DefaultName returns a name with the default values for the host, namespace,
 // and tag parts. The model and digest parts are empty.
 //
@@ -43,9 +49,9 @@ const MissingPart = "!MISSING!"
 //   - The default tag is ("latest")
 func DefaultName() Name {
 	return Name{
-		Host:      "registry.ollama.ai",
-		Namespace: "library",
-		Tag:       "latest",
+		Host:      defaultHost,
+		Namespace: defaultNamespace,
+		Tag:       defaultTag,
 	}
 }
 
@@ -161,7 +167,7 @@ func ParseNameBare(s string) Name {
 	}
 
 	scheme, host, ok := strings.Cut(s, "://")
-	if ! ok {
+	if !ok {
 		host = scheme
 	}
 	n.Host = host
@@ -169,6 +175,27 @@ func ParseNameBare(s string) Name {
 	return n
 }
 
+// ParseNameFromFilepath parses a 4-part filepath as a Name. The parts are
+// expected to be in the form:
+//
+// { host } "/" { namespace } "/" { model } "/" { tag }
+func ParseNameFromFilepath(s string) (n Name) {
+	parts := strings.Split(s, string(filepath.Separator))
+	if len(parts) != 4 {
+		return Name{}
+	}
+
+	n.Host = parts[0]
+	n.Namespace = parts[1]
+	n.Model = parts[2]
+	n.Tag = parts[3]
+	if !n.IsFullyQualified() {
+		return Name{}
+	}
+
+	return n
+}
+
 // Merge merges the host, namespace, and tag parts of the two names,
 // preferring the non-empty parts of a.
 func Merge(a, b Name) Name {
@@ -203,6 +230,27 @@ func (n Name) String() string {
 	return b.String()
 }
 
+// DisplayShort returns a short string version of the name.
+func (n Name) DisplayShortest() string {
+	var sb strings.Builder
+
+	if n.Host != defaultHost {
+		sb.WriteString(n.Host)
+		sb.WriteByte('/')
+		sb.WriteString(n.Namespace)
+		sb.WriteByte('/')
+	} else if n.Namespace != defaultNamespace {
+		sb.WriteString(n.Namespace)
+		sb.WriteByte('/')
+	}
+
+	// always include model and tag
+	sb.WriteString(n.Model)
+	sb.WriteString(":")
+	sb.WriteString(n.Tag)
+	return sb.String()
+}
+
 // IsValid reports whether all parts of the name are present and valid. The
 // digest is a special case, and is checked for validity only if present.
 func (n Name) IsValid() bool {
@@ -242,12 +290,12 @@ func (n Name) Filepath() string {
 	if !n.IsFullyQualified() {
 		panic("illegal attempt to get filepath of invalid name")
 	}
-	return strings.ToLower(filepath.Join(
+	return filepath.Join(
 		n.Host,
 		n.Namespace,
 		n.Model,
 		n.Tag,
-	))
+	)
 }
 
 // LogValue returns a slog.Value that represents the name as a string.

types/model/name_test.go

@@ -19,6 +19,16 @@ func TestParseNameParts(t *testing.T) {
 		wantFilepath    string
 		wantValidDigest bool
 	}{
+		{
+			in: "registry.ollama.ai/library/dolphin-mistral:7b-v2.6-dpo-laser-q6_K",
+			want: Name{
+				Host:      "registry.ollama.ai",
+				Namespace: "library",
+				Model:     "dolphin-mistral",
+				Tag:       "7b-v2.6-dpo-laser-q6_K",
+			},
+			wantFilepath: filepath.Join("registry.ollama.ai", "library", "dolphin-mistral", "7b-v2.6-dpo-laser-q6_K"),
+		},
 		{
 			in: "scheme://host:port/namespace/model:tag",
 			want: Name{
@@ -266,9 +276,9 @@ func TestFilepathAllocs(t *testing.T) {
 	allocs := testing.AllocsPerRun(1000, func() {
 		n.Filepath()
 	})
-	allowedAllocs := 2.0
+	var allowedAllocs float64 = 1
 	if runtime.GOOS == "windows" {
-		allowedAllocs = 4
+		allowedAllocs = 3
 	}
 	if allocs > allowedAllocs {
 		t.Errorf("allocs = %v; allowed %v", allocs, allowedAllocs)
@@ -309,6 +319,49 @@ func TestParseDigest(t *testing.T) {
 	}
 }
 
+func TestParseNameFromFilepath(t *testing.T) {
+	cases := map[string]Name{
+		filepath.Join("host", "namespace", "model", "tag"):      {Host: "host", Namespace: "namespace", Model: "model", Tag: "tag"},
+		filepath.Join("host:port", "namespace", "model", "tag"): {Host: "host:port", Namespace: "namespace", Model: "model", Tag: "tag"},
+		filepath.Join("namespace", "model", "tag"):              {},
+		filepath.Join("model", "tag"):                           {},
+		filepath.Join("model"):                                  {},
+		filepath.Join("..", "..", "model", "tag"):               {},
+		filepath.Join("", "namespace", ".", "tag"):              {},
+		filepath.Join(".", ".", ".", "."):                       {},
+		filepath.Join("/", "path", "to", "random", "file"):      {},
+	}
+
+	for in, want := range cases {
+		t.Run(in, func(t *testing.T) {
+			got := ParseNameFromFilepath(in)
+
+			if !reflect.DeepEqual(got, want) {
+				t.Errorf("parseNameFromFilepath(%q) = %v; want %v", in, got, want)
+			}
+		})
+	}
+}
+
+func TestDisplayShortest(t *testing.T) {
+	cases := map[string]string{
+		"registry.ollama.ai/library/model:latest": "model:latest",
+		"registry.ollama.ai/library/model:tag":    "model:tag",
+		"registry.ollama.ai/namespace/model:tag":  "namespace/model:tag",
+		"host/namespace/model:tag":                "host/namespace/model:tag",
+		"host/library/model:tag":                  "host/library/model:tag",
+	}
+
+	for in, want := range cases {
+		t.Run(in, func(t *testing.T) {
+			got := ParseNameBare(in).DisplayShortest()
+			if got != want {
+				t.Errorf("parseName(%q).DisplayShortest() = %q; want %q", in, got, want)
+			}
+		})
+	}
+}
+
 func FuzzName(f *testing.F) {
 	for s := range testCases {
 		f.Add(s)

wiki for build on amd

@@ -0,0 +1,46 @@
+###download 
+
+Make preparation as guide on [Development] (https://github.com/ollama/ollama/blob/main/docs/development.md)
+run 
+	$env:CGO_ENABLED="1"
+	go generate ./...
+
+###edit 
+Then edit the file https://github.com/ollama/ollama/blob/main/llm/generate/gen_windows.ps1
+add your gpu on the gpu list.
+
+official support list   "gfx900"   "gfx906:xnack-"   "gfx908:xnack-" "gfx90a:xnack+" "gfx90a:xnack-"   "gfx940" "gfx941"  "gfx942"    "gfx1010""gfx1012"  "gfx1030" "gfx1100""gfx1101" "gfx1102"
+
+example extra list add on this repo. 
+
+"gfx803" "gfx902"  "gfx904""gfx940" "gfx941" "gfx942" "gfx1010" "gfx1011" "gfx1012" "gfx1030" "gfx1031"  "gfx1032""gfx1034" "gfx1035" "gfx1036" "gfx1103" 
+
+
+### Rocblas support
+Make sure your have Hip SDK availble and have rocblas supported .
+if not try to build the rocblas or download somewhere on github or build yourself 
+
+(learn how to build rocblas)[https://github.com/likelovewant/stable-diffusion-webui-forge-on-amd#extra-if-you-do-not-need-build-roclabs-or-already-have-library-please-skip-this-]
+
+
+Availbe rocblas for gfx803、gfx900、gfx1010、gfx1031、gfx1032、 gfx1032、 gfx1103 on [https://github.com/likelovewant/ROCmLibs-for-gfx1103-AMD780M-APU-/tree/main]
+For others , please build yourself or search from others source .
+
+Place rocblas.dll into C:\Program Files\AMD\ROCm\5.7\bin( this fold will appear after install HIP SKD ) replace the origianl one ,replace library within rocblas\library , also relace files in the ollama program folder with your rocblas.dll and library folder，eg（C:\Users\usrname\AppData\Local\Programs\Ollama\rocm） this report will not update regulary ,serve an example only .
+
+
+After done .
+
+###  Build 
+Then follow the guide(here)[https://github.com/ollama/ollama/blob/main/app/README.md]
+
+If you want to build the installer, youll need to install
+
+https://jrsoftware.org/isinfo.php
+In the top directory of this repo, run the following powershell script to build the ollama CLI, ollama app, and ollama installer.
+
+powershell -ExecutionPolicy Bypass -File .\scripts\build_windows.ps1
+
+after done the installer will availbel in the dist folder .
+
+run the installer , its will work as exactly as the offocial release one .