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72 Commits

Author SHA1 Message Date
likelovewant
28832df4bd Merge branch 'ollama:main' into main 2024-08-15 13:02:41 +08:00
Jeffrey Morgan
8200c371ae add CONTRIBUTING.md (#6349) 2024-08-14 15:19:50 -07:00
longtao
0a8d6ea86d Fix typo and improve readability (#5964)
* Fix typo and improve readability

Summary:
* Rename updatAvailableMenuID to updateAvailableMenuID
* Replace unused cmd parameter with _ in RunServer function
* Fix typos in comments

(cherry picked from commit 5b8715f0b04773369e8eb1f9e6737995a0ab3ba7)

* Update api/client.go

Co-authored-by: Jeffrey Morgan <jmorganca@gmail.com>

---------

Co-authored-by: Jeffrey Morgan <jmorganca@gmail.com>
2024-08-13 17:54:19 -07:00
Blake Mizerany
8e1050f366 server: reduce max connections used in download (#6347)
The previous value of 64 was WAY too high and unnecessary. It reached
diminishing returns and blew past it. This is a more reasonable number
for _most_ normal cases. For users on cloud servers with excellent
network quality, this will keep screaming for them, without hitting our
CDN limits. For users with relatively poor network quality, this will
keep them from saturating their network and causing other issues.
2024-08-13 16:47:35 -07:00
Bruce MacDonald
eda8a32a09 update chatml template format to latest in docs (#6344) 2024-08-13 16:39:18 -07:00
Michael Yang
a0a40aa20c Merge pull request #6346 from ollama/mxyng/lint 2024-08-13 14:58:35 -07:00
Michael Yang
2697d7f5aa lint
- fixes printf: non-constant format string in call to fmt.Printf
- fixes SA1032: arguments have the wrong order
- disables testifylint
2024-08-13 14:36:33 -07:00
Pamela Fox
1f32276178 Update openai.md to remove extra checkbox (#6345) 2024-08-13 13:36:05 -07:00
Daniel Hiltgen
4c4fe3f87f Merge pull request #6343 from dhiltgen/revert_win_go_version
Go back to a pinned Go version
2024-08-13 11:53:49 -07:00
Daniel Hiltgen
feedf49c71 Go back to a pinned Go version
Go version 1.22.6 is triggering AV false positives, so go back to 1.22.5
2024-08-13 11:45:44 -07:00
royjhan
8b00a415ab Load Embedding Model on Empty Input (#6325)
* load on empty input

* no load on invalid input
2024-08-13 10:19:56 -07:00
likelovewant
b7d38e2ccd Merge branch 'ollama:main' into main 2024-08-13 11:27:09 +08:00
Michael Yang
01b80e9ffc Merge pull request #5443 from ollama/mxyng/convert-phi3
add conversion for microsoft phi 3 mini/medium 4k, 128k
2024-08-12 15:47:58 -07:00
Michael Yang
bd5e432630 update import.md 2024-08-12 15:13:29 -07:00
Bruce MacDonald
aec77d6a05 support new "longrope" attention factor 2024-08-12 15:13:29 -07:00
Michael Yang
6ffb5cb017 add conversion for microsoft phi 3 mini/medium 4k, 128 2024-08-12 15:13:29 -07:00
Josh
f7e3b9190f cmd: spinner progress for transfer model data (#6100) 2024-08-12 11:46:32 -07:00
Josh
980dd15f81 cmd: speed up gguf creates (#6324) 2024-08-12 11:46:09 -07:00
royjhan
01d544d373 OpenAI: Simplify input output in testing (#5858)
* simplify input output

* direct comp

* in line image

* rm error pointer type

* update response testing

* lint
2024-08-12 10:33:34 -07:00
Josh
1dc3ef3aa9 Revert "server: speed up single gguf creates (#5898)" (#6323)
This reverts commit 8aac22438e.
2024-08-12 09:57:51 -07:00
Josh
8aac22438e server: speed up single gguf creates (#5898) 2024-08-12 09:28:55 -07:00
Jeffrey Morgan
15c2d8fe14 server: parallelize embeddings in API web handler instead of in subprocess runner (#6220)
For simplicity, perform parallelization of embedding requests in the API handler instead of offloading this to the subprocess runner. This keeps the scheduling story simpler as it builds on existing parallel requests, similar to existing text completion functionality.
2024-08-11 11:57:10 -07:00
Daniel Hiltgen
25906d72d1 llm: prevent loading too large models on windows (#5926)
Don't allow loading models that would lead to memory exhaustion (across vram, system memory and disk paging). This check was already applied on Linux but should also be applied on Windows as well.
2024-08-11 11:30:20 -07:00
CognitiveTech
023451ce47 add integration obook-summary (#6305) 2024-08-10 18:43:08 -07:00
Jesse Gross
9b53e39d8e Merge pull request #6258 from coolljt0725/fix_typo
server/download.go: Fix a typo in log
2024-08-09 17:19:48 -07:00
Michael Yang
97fae2df95 Merge pull request #6235 from Nicholas42/fix_line_endings
Set *.png and *.ico to be treated as binary files.
2024-08-09 17:06:30 -07:00
Michael Yang
160d9d4900 Merge pull request #6171 from ollama/mxyng/remove-temp
removeall to remove non-empty temp dirs
2024-08-09 15:47:13 -07:00
Nicholas Schwab
d4e6407464 Restrict text files with explicit line feeds to *.go.
This partially reverts b732beba6a. It
seems like explicitly setting all files to use line feeds was done due
to issues with the go linter, hence it can be restricted to those files
(https://github.com/ollama/ollama/pull/6235#issuecomment-2278745953).
2024-08-09 23:14:13 +02:00
Daniel Hiltgen
b7f7d8cd15 Merge pull request #6291 from dhiltgen/no_sparse_fail
Don't hard fail on sparse setup error
2024-08-09 12:30:25 -07:00
Daniel Hiltgen
2fa1db4345 Don't hard fail on sparse setup error
It seems this can fail in some casees, but proceed
with the download anyway.
2024-08-09 12:16:19 -07:00
Daniel Hiltgen
71b0945fc6 Merge pull request #6290 from dhiltgen/intel_npe
Harden intel boostrap for nil pointers
2024-08-09 12:14:42 -07:00
Daniel Hiltgen
5bca2e60a7 Harden intel boostrap for nil pointers 2024-08-09 11:31:38 -07:00
Nicholas42
67472e0e89 Also flag *.icns as binary 2024-08-09 13:41:20 +02:00
Daniel Hiltgen
e9aa5117c4 Merge pull request #6133 from dhiltgen/cuda_repo
Adjust arm cuda repo paths
2024-08-08 12:33:35 -07:00
Daniel Hiltgen
2473bdba5e Merge pull request #6182 from dhiltgen/more_patterns
Catch one more error log
2024-08-08 12:33:17 -07:00
Jesse Gross
7d1c0047fa Merge pull request #6247 from ollama/jessegross/layers
Store layers inside manifests consistently as values.
2024-08-08 10:46:43 -07:00
Jitang Lei
7b61eba471 server/download.go: Fix a typo in log
Signed-off-by: Jitang Lei <leijitang@outlook.com>
2024-08-08 20:28:01 +08:00
likelovewant
26bd1101b9 Merge branch 'ollama:main' into main 2024-08-08 10:58:01 +08:00
Jesse Gross
7edaf6e7e8 manifest: Store layers inside manifests consistently as values.
Commit 1829fb61 ("manifest: Fix crash on startup when trying to clean up
unused files (#5840)") changed the config layer stored in manifests
from a pointer to a value. This was done in order to avoid potential
nil pointer dereferences after it is deserialized from JSON in the
event that the field is missing.

This changes the Layers slice to also be stored by value. This enables
consistency in handling across the two objects.
2024-08-07 17:03:06 -07:00
Jesse Gross
97ec8cfd4e image: Clarify argument to WriteManifest is config
When creating a model the config layer is appended to the list of
layers and then the last layer is used as the config when writing the
manifest. This change directly uses the config layer to write the
manifest. There is no behavior change but it is less error prone.
2024-08-07 16:58:42 -07:00
royjhan
5b3a21b578 add metrics to docs (#6079) 2024-08-07 14:43:44 -07:00
Kyle Kelley
ad0c19dde4 Use llama3.1 in tools example (#5985)
* Use llama3.1 in tools example

* Update api.md
2024-08-07 17:20:50 -04:00
Jesse Gross
69eb06c40e Merge pull request #6145 from ollama/jessegross/bug5840
Fix crash on startup when trying to clean up unused files (#5840)
2024-08-07 11:24:15 -07:00
Jesse Gross
1829fb61bd manifest: Fix crash on startup when trying to clean up unused files (#5840)
Currently if the config field is missing in the manifest file (or
corrupted), Ollama will crash when it tries to read it. This can
happen at startup or when pulling new models.

This data is mostly just used for showing model information so we
can be tolerant of it not being present - it is not required to
run the models. Besides avoiding crashing, this also gives us the
ability to restructure the config in the future by pulling it
into the main manifest file.
2024-08-07 10:30:44 -07:00
Nicholas Schwab
ce67706037 Set *.png and *.ico to be treated as binary files.
The change b732beba6 makes all files text files and sets lf as eol. This
will automatically change all files to have lf if they are touched by
git (e.g. via git status). This change cannot be stashed and makes it
hard to work with the repo (rebase and checkout don't really work). See
also #6183.

Here, we set the offending files (*.png and *.ico, but that might be
more in the future) to be treated as binary files and not be changed by
git.
2024-08-07 18:20:11 +02:00
likelovewant
ca312b344f Merge branch 'ollama:main' into main 2024-08-07 17:20:55 +08:00
Jesse Gross
685a53534b manifest: Don't prune layers if we can't open a manifest file
If there is an error when opening a manifest file (corrupted, permission denied, etc.)
then the referenced layers will not be included in the list of active
layers. This causes them to be deleted when pruning happens at startup
or a model is pulled.

In such a situation, we should prefer to preserve data in the hopes that
it can be recovered rather than being agressive about deletion.
2024-08-06 23:11:19 -07:00
Jeffrey Morgan
de4fc29773 llm: reserve required number of slots for embeddings (#6219) 2024-08-06 23:20:49 -04:00
Jeffrey Morgan
e04c7012c2 update llama.cpp submodule to 1e6f6554 (#6208) 2024-08-06 15:11:45 -04:00
Chua Chee Seng
d4a7216c82 Fixed invalid option provided not displaying the invalid option name problem. (#6202) 2024-08-06 14:37:16 -04:00
Daniel Hiltgen
a4fdd03c3b Merge pull request #6207 from dhiltgen/sparse_win
Ensure sparse files on windows during download
2024-08-06 11:06:06 -07:00
Daniel Hiltgen
fc85f50a2b Ensure sparse files on windows during download
The file.Truncate call on windows will write the whole file
unless you set the sparse flag, leading to heavy I/O at the
beginning of download.  This should improve our
I/O behavior on windows and put less stress on the users disk.
2024-08-06 10:58:08 -07:00
royjhan
86b907f82a sort batch results (#6189) 2024-08-05 16:55:34 -07:00
Michael Yang
10d49bce70 Merge pull request #6190 from ollama/mxyng/fix-integration
fix concurrency test
2024-08-05 16:45:49 -07:00
Michael Yang
7ed367419e fix concurrency test 2024-08-05 16:36:16 -07:00
Daniel Hiltgen
50ee8b5f56 Merge pull request #6186 from dhiltgen/numa
Implement linux NUMA detection
2024-08-05 15:20:06 -07:00
Michael Yang
03bdac0595 Merge pull request #6146 from ollama/mxyng/testing
use testing tempdirs
2024-08-05 13:00:05 -07:00
Daniel Hiltgen
f457d63400 Implement linux NUMA detection
If the system has multiple numa nodes, enable numa support in llama.cpp
If we detect numactl in the path, use that, else use the basic "distribute" mode.
2024-08-05 12:56:20 -07:00
Daniel Hiltgen
04210aa6dd Catch one more error log 2024-08-05 09:28:07 -07:00
Michael Yang
43f9d92008 close pid file 2024-08-05 00:41:16 -07:00
Michael Yang
ed6c8bfe57 removeall to remove non-empty temp dirs 2024-08-05 00:41:16 -07:00
Michael Yang
39f2bc6bfc Merge pull request #6167 from ollama/mxyng/line-feed
line feed
2024-08-05 00:06:28 -07:00
frob
b73b0940ef Disable paging for journalctl (#6154)
Users using `journalctl` to get logs for issue logging sometimes don't realize that paging is causing information to be missed.
2024-08-05 00:10:53 -04:00
Michael Yang
6a07344786 line feed 2024-08-04 17:25:41 -07:00
sryu1
8b920f35a4 Add Gemma 2 2b (#6151) 2024-08-04 10:58:39 -04:00
Ivan Charapanau
4221e39867 Reference ollama integration with Harbor (#6147) 2024-08-02 17:03:46 -07:00
Michael Yang
a091fadfda use testing tempdirs 2024-08-02 16:04:06 -07:00
Michael Yang
77ccbf04dc Merge pull request #6128 from ollama/mxyng/lint
enable gofmt/gofumpt/goimports/tenv
2024-08-02 14:58:40 -07:00
royjhan
4addf6b587 Update OpenAI Compatibility Docs with /v1/completions (#5311)
* Update docs

* token bug corrected

* Update docs/openai.md

* Update docs/openai.md

* add suffix

* merge conflicts

* merge conflicts
2024-08-02 13:16:23 -07:00
royjhan
85c7f11170 Update docs (#5310) 2024-08-02 13:05:57 -07:00
Daniel Hiltgen
df3802a65f Adjust arm cuda repo paths
Ubuntu distros fail to install cuda drivers since aarch64 isn't valid
2024-08-01 17:22:25 -07:00
Michael Yang
b732beba6a lint 2024-08-01 17:06:06 -07:00
103 changed files with 1728 additions and 1021 deletions

2
.gitattributes vendored
View File

@@ -1 +1,3 @@
llm/ext_server/* linguist-vendored
* text=auto
*.go text eol=lf

View File

@@ -31,7 +31,7 @@ jobs:
security set-keychain-settings -lut 3600 build.keychain
- uses: actions/setup-go@v5
with:
go-version: "stable"
go-version-file: go.mod
cache: true
- name: Build Darwin
env:
@@ -87,7 +87,7 @@ jobs:
write-host "plugin installed"
- uses: actions/setup-go@v5
with:
go-version: "stable"
go-version-file: go.mod
cache: true
- run: go get ./...
- run: |
@@ -141,7 +141,7 @@ jobs:
write-host "plugin installed"
- uses: actions/setup-go@v5
with:
go-version: "stable"
go-version-file: go.mod
cache: true
- name: 'Install ROCm'
run: |
@@ -218,7 +218,7 @@ jobs:
write-host "plugin installed"
- uses: actions/setup-go@v5
with:
go-version: "stable"
go-version-file: go.mod
cache: true
- name: 'Install CUDA'
run: |
@@ -306,7 +306,7 @@ jobs:
write-host "plugin installed"
- uses: actions/setup-go@v5
with:
go-version: "stable"
go-version-file: go.mod
cache: true
- run: go get
- uses: actions/download-artifact@v4

View File

@@ -63,7 +63,7 @@ jobs:
- uses: actions/checkout@v4
- uses: actions/setup-go@v5
with:
go-version: "stable"
go-version-file: go.mod
cache: true
- run: go get ./...
- run: |
@@ -163,7 +163,7 @@ jobs:
- uses: actions/checkout@v4
- uses: actions/setup-go@v5
with:
go-version: "stable"
go-version-file: go.mod
cache: true
- name: 'Install ROCm'
run: |
@@ -200,7 +200,7 @@ jobs:
- uses: actions/checkout@v4
- uses: actions/setup-go@v5
with:
go-version: "stable"
go-version-file: go.mod
cache: true
- name: 'Install CUDA'
run: |
@@ -255,7 +255,7 @@ jobs:
submodules: recursive
- uses: actions/setup-go@v5
with:
go-version: "stable"
go-version-file: go.mod
cache: false
- run: |
case ${{ matrix.arch }} in
@@ -273,7 +273,7 @@ jobs:
if: ${{ startsWith(matrix.os, 'macos-') }}
- uses: golangci/golangci-lint-action@v6
with:
args: --timeout 8m0s -v ${{ startsWith(matrix.os, 'windows-') && '' || '--disable gofmt --disable goimports' }}
args: --timeout 8m0s -v
test:
strategy:
matrix:
@@ -297,7 +297,7 @@ jobs:
submodules: recursive
- uses: actions/setup-go@v5
with:
go-version: "stable"
go-version-file: go.mod
cache: true
- run: |
case ${{ matrix.arch }} in

View File

@@ -7,22 +7,31 @@ linters:
- bodyclose
- containedctx
- contextcheck
- errcheck
- exportloopref
- gci
- gocheckcompilerdirectives
# conditionally enable this on linux/macos
# - gofmt
# - goimports
- gofmt
- gofumpt
- gosimple
- govet
- ineffassign
- intrange
- makezero
- misspell
- nilerr
- nolintlint
- nosprintfhostport
- testifylint
- staticcheck
- tenv
- unconvert
- unused
- usestdlibvars
- wastedassign
- whitespace
- usestdlibvars
linters-settings:
gci:
sections: [standard, default, localmodule]
severity:
default-severity: error
rules:

37
CONTRIBUTING.md Normal file
View File

@@ -0,0 +1,37 @@
# Contributing to Ollama
Thank you for your interest in contributing to Ollama! Here are a few guidelines to help get you started.
## Set up
See the [development documentation](./docs/development.md) for instructions on how to build and run Ollama locally.
## Pull requests
### Ideal issues
* [Bugs](https://github.com/ollama/ollama/issues?q=is%3Aissue+is%3Aopen+label%3Abug): issues where Ollama stops working or where it results in an unexpected error.
* [Performance](https://github.com/ollama/ollama/issues?q=is%3Aissue+is%3Aopen+label%3Aperformance): issues to make Ollama faster at model inference, downloading or uploading.
* [Security](https://github.com/ollama/ollama/blob/main/SECURITY.md): issues that could lead to a security vulnerability. As mentioned in [SECURITY.md](https://github.com/ollama/ollama/blob/main/SECURITY.md), please do not disclose security vulnerabilities publicly.
### Issues that are harder to review
* New features: new features (e.g. API fields, environment variables) add surface area to Ollama and make it harder to maintain in the long run as they cannot be removed without potentially breaking users in the future.
* Refactoring: large code improvements are important, but can be harder or take longer to review and merge.
* Documentation: small updates to fill in or dorrect missing documentation is helpful, however large documentation additions can be hard to maintain over time.
### Issues that may not be accepted
* Changes that break backwards compatibility in Ollama's API (including the OpenAI-compatible API)
* Changes that add significant friction to the user experience
* Changes that create a large future maintenance burden for maintainers and contributors
### Best practices
* Commit messages: please leave both a title and a description in your commit messages. The title should be a short summary of the changes, with a leading word that explains the section of the code being changed (e.g. `api: fix parsing of prompt field`) . In the description, leave a short 2-3 sentences that explain more about the change and its impact.
* Tests: please add test coverage to changes where possible.
* Minimize dependencies: avoid adding new dependencies unless absolutely necessary.
## Need help?
If you need help with anything, feel free to reach out to us on our [Discord server](https://discord.gg/ollama).

View File

@@ -72,6 +72,7 @@ Here are some example models that can be downloaded:
| Llama 3.1 | 405B | 231GB | `ollama run llama3.1:405b` |
| Phi 3 Mini | 3.8B | 2.3GB | `ollama run phi3` |
| Phi 3 Medium | 14B | 7.9GB | `ollama run phi3:medium` |
| Gemma 2 | 2B | 1.6GB | `ollama run gemma2:2b` |
| Gemma 2 | 9B | 5.5GB | `ollama run gemma2` |
| Gemma 2 | 27B | 16GB | `ollama run gemma2:27b` |
| Mistral | 7B | 4.1GB | `ollama run mistral` |
@@ -318,6 +319,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [Sidellama](https://github.com/gyopak/sidellama) (browser-based LLM client)
- [LLMStack](https://github.com/trypromptly/LLMStack) (No-code multi-agent framework to build LLM agents and workflows)
- [BoltAI for Mac](https://boltai.com) (AI Chat Client for Mac)
- [Harbor](https://github.com/av/harbor) (Containerized LLM Toolkit with Ollama as default backend)
### Terminal
@@ -341,6 +343,7 @@ See the [API documentation](./docs/api.md) for all endpoints.
- [tlm](https://github.com/yusufcanb/tlm)
- [podman-ollama](https://github.com/ericcurtin/podman-ollama)
- [gollama](https://github.com/sammcj/gollama)
- [Ollama eBook Summary](https://github.com/cognitivetech/ollama-ebook-summary/)
### Database

View File

@@ -18,6 +18,7 @@ import (
"bytes"
"context"
"encoding/json"
"errors"
"fmt"
"io"
"net/http"
@@ -172,7 +173,7 @@ func (c *Client) stream(ctx context.Context, method, path string, data any, fn f
}
if errorResponse.Error != "" {
return fmt.Errorf(errorResponse.Error)
return errors.New(errorResponse.Error)
}
if response.StatusCode >= http.StatusBadRequest {
@@ -297,7 +298,7 @@ func (c *Client) List(ctx context.Context) (*ListResponse, error) {
return &lr, nil
}
// List running models.
// ListRunning lists running models.
func (c *Client) ListRunning(ctx context.Context) (*ProcessResponse, error) {
var lr ProcessResponse
if err := c.do(ctx, http.MethodGet, "/api/ps", nil, &lr); err != nil {
@@ -332,7 +333,7 @@ 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
// Heartbeat 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 {

View File

@@ -231,7 +231,6 @@ type Options struct {
// Runner options which must be set when the model is loaded into memory
type Runner struct {
UseNUMA bool `json:"numa,omitempty"`
NumCtx int `json:"num_ctx,omitempty"`
NumBatch int `json:"num_batch,omitempty"`
NumGPU int `json:"num_gpu,omitempty"`
@@ -505,7 +504,7 @@ func (opts *Options) FromMap(m map[string]interface{}) error {
for key, val := range m {
opt, ok := jsonOpts[key]
if !ok {
slog.Warn("invalid option provided", "option", opt.Name)
slog.Warn("invalid option provided", "option", key)
continue
}
@@ -615,7 +614,6 @@ func DefaultOptions() Options {
F16KV: true,
UseMLock: false,
UseMMap: nil,
UseNUMA: false,
},
}
}

View File

@@ -2,7 +2,7 @@ package api
import (
"encoding/json"
"fmt"
"errors"
"math"
"testing"
"time"
@@ -192,7 +192,7 @@ func TestUseMmapFormatParams(t *testing.T) {
"use_mmap": {"foo"},
},
exp: nil,
err: fmt.Errorf("invalid bool value [foo]"),
err: errors.New("invalid bool value [foo]"),
},
}

View File

@@ -2,8 +2,8 @@
package lifecycle
import "fmt"
import "errors"
func GetStarted() error {
return fmt.Errorf("GetStarted not implemented")
return errors.New("not implemented")
}

View File

@@ -34,7 +34,6 @@ func GetStarted() error {
Sys: &syscall.SysProcAttr{CreationFlags: CREATE_NEW_CONSOLE, HideWindow: false},
}
proc, err := os.StartProcess(args[0], args, attrs)
if err != nil {
return fmt.Errorf("unable to start getting started shell %w", err)
}

View File

@@ -27,7 +27,7 @@ func InitLogging() {
// TODO - write one-line to the app.log file saying we're running in console mode to help avoid confusion
} else {
rotateLogs(AppLogFile)
logFile, err = os.OpenFile(AppLogFile, os.O_APPEND|os.O_WRONLY|os.O_CREATE, 0755)
logFile, err = os.OpenFile(AppLogFile, os.O_APPEND|os.O_WRONLY|os.O_CREATE, 0o755)
if err != nil {
slog.Error(fmt.Sprintf("failed to create server log %v", err))
return

View File

@@ -5,5 +5,5 @@ package lifecycle
import "log/slog"
func ShowLogs() {
slog.Warn("ShowLogs not yet implemented")
slog.Warn("not implemented")
}

View File

@@ -17,7 +17,7 @@ func TestRotateLogs(t *testing.T) {
// No log exists
rotateLogs(logFile)
require.NoError(t, os.WriteFile(logFile, []byte("1"), 0644))
require.NoError(t, os.WriteFile(logFile, []byte("1"), 0o644))
assert.FileExists(t, logFile)
// First rotation
rotateLogs(logFile)
@@ -32,7 +32,7 @@ func TestRotateLogs(t *testing.T) {
assert.NoFileExists(t, logFile)
for i := 2; i <= LogRotationCount+1; i++ {
require.NoError(t, os.WriteFile(logFile, []byte(strconv.Itoa(i)), 0644))
require.NoError(t, os.WriteFile(logFile, []byte(strconv.Itoa(i)), 0o644))
assert.FileExists(t, logFile)
rotateLogs(logFile)
assert.NoFileExists(t, logFile)

View File

@@ -55,7 +55,7 @@ func start(ctx context.Context, command string) (*exec.Cmd, error) {
}
rotateLogs(ServerLogFile)
logFile, err := os.OpenFile(ServerLogFile, os.O_APPEND|os.O_WRONLY|os.O_CREATE, 0755)
logFile, err := os.OpenFile(ServerLogFile, os.O_APPEND|os.O_WRONLY|os.O_CREATE, 0o755)
if err != nil {
return nil, fmt.Errorf("failed to create server log: %w", err)
}

View File

@@ -15,6 +15,7 @@ import (
"path"
"path/filepath"
"runtime"
"strconv"
"strings"
"time"
@@ -46,7 +47,7 @@ func IsNewReleaseAvailable(ctx context.Context) (bool, UpdateResponse) {
query.Add("os", runtime.GOOS)
query.Add("arch", runtime.GOARCH)
query.Add("version", version.Version)
query.Add("ts", fmt.Sprintf("%d", time.Now().Unix()))
query.Add("ts", strconv.FormatInt(time.Now().Unix(), 10))
nonce, err := auth.NewNonce(rand.Reader, 16)
if err != nil {

View File

@@ -4,9 +4,9 @@ package lifecycle
import (
"context"
"fmt"
"errors"
)
func DoUpgrade(cancel context.CancelFunc, done chan int) error {
return fmt.Errorf("DoUpgrade not yet implemented")
return errors.New("not implemented")
}

View File

@@ -2,6 +2,7 @@ package lifecycle
import (
"context"
"errors"
"fmt"
"log/slog"
"os"
@@ -15,7 +16,7 @@ func DoUpgrade(cancel context.CancelFunc, done chan int) error {
return fmt.Errorf("failed to lookup downloads: %s", err)
}
if len(files) == 0 {
return fmt.Errorf("no update downloads found")
return errors.New("no update downloads found")
} else if len(files) > 1 {
// Shouldn't happen
slog.Warn(fmt.Sprintf("multiple downloads found, using first one %v", files))
@@ -64,7 +65,7 @@ func DoUpgrade(cancel context.CancelFunc, done chan int) error {
}
} else {
// TODO - some details about why it didn't start, or is this a pedantic error case?
return fmt.Errorf("installer process did not start")
return errors.New("installer process did not start")
}
// TODO should we linger for a moment and check to make sure it's actually running by checking the pid?

View File

@@ -3,11 +3,11 @@
package tray
import (
"fmt"
"errors"
"github.com/ollama/ollama/app/tray/commontray"
)
func InitPlatformTray(icon, updateIcon []byte) (commontray.OllamaTray, error) {
return nil, fmt.Errorf("NOT IMPLEMENTED YET")
return nil, errors.New("not implemented")
}

View File

@@ -11,9 +11,7 @@ import (
"golang.org/x/sys/windows"
)
var (
quitOnce sync.Once
)
var quitOnce sync.Once
func (t *winTray) Run() {
nativeLoop()

View File

@@ -11,12 +11,12 @@ import (
)
const (
updatAvailableMenuID = 1
updateMenuID = updatAvailableMenuID + 1
separatorMenuID = updateMenuID + 1
diagLogsMenuID = separatorMenuID + 1
diagSeparatorMenuID = diagLogsMenuID + 1
quitMenuID = diagSeparatorMenuID + 1
updateAvailableMenuID = 1
updateMenuID = updateAvailableMenuID + 1
separatorMenuID = updateMenuID + 1
diagLogsMenuID = separatorMenuID + 1
diagSeparatorMenuID = diagLogsMenuID + 1
quitMenuID = diagSeparatorMenuID + 1
)
func (t *winTray) initMenus() error {
@@ -35,7 +35,7 @@ func (t *winTray) initMenus() error {
func (t *winTray) UpdateAvailable(ver string) error {
if !t.updateNotified {
slog.Debug("updating menu and sending notification for new update")
if err := t.addOrUpdateMenuItem(updatAvailableMenuID, 0, updateAvailableMenuTitle, true); err != nil {
if err := t.addOrUpdateMenuItem(updateAvailableMenuID, 0, updateAvailableMenuTitle, true); err != nil {
return fmt.Errorf("unable to create menu entries %w", err)
}
if err := t.addOrUpdateMenuItem(updateMenuID, 0, updateMenutTitle, false); err != nil {

View File

@@ -13,8 +13,9 @@ import (
"sync"
"unsafe"
"github.com/ollama/ollama/app/tray/commontray"
"golang.org/x/sys/windows"
"github.com/ollama/ollama/app/tray/commontray"
)
// Helpful sources: https://github.com/golang/exp/blob/master/shiny/driver/internal/win32
@@ -414,7 +415,7 @@ func iconBytesToFilePath(iconBytes []byte) (string, error) {
iconFilePath := filepath.Join(os.TempDir(), "ollama_temp_icon_"+dataHash)
if _, err := os.Stat(iconFilePath); os.IsNotExist(err) {
if err := os.WriteFile(iconFilePath, iconBytes, 0644); err != nil {
if err := os.WriteFile(iconFilePath, iconBytes, 0o644); err != nil {
return "", err
}
}

View File

@@ -5,6 +5,7 @@ import (
"context"
"crypto/rand"
"encoding/base64"
"errors"
"fmt"
"io"
"log/slog"
@@ -78,7 +79,7 @@ func Sign(ctx context.Context, bts []byte) (string, error) {
publicKey := ssh.MarshalAuthorizedKey(privateKey.PublicKey())
parts := bytes.Split(publicKey, []byte(" "))
if len(parts) < 2 {
return "", fmt.Errorf("malformed public key")
return "", errors.New("malformed public key")
}
signedData, err := privateKey.Sign(rand.Reader, bts)

View File

@@ -22,6 +22,7 @@ import (
"runtime"
"slices"
"strings"
"sync/atomic"
"syscall"
"time"
@@ -78,6 +79,7 @@ func CreateHandler(cmd *cobra.Command, args []string) error {
status := "transferring model data"
spinner := progress.NewSpinner(status)
p.Add(status, spinner)
defer p.Stop()
for i := range modelfile.Commands {
switch modelfile.Commands[i].Name {
@@ -112,7 +114,7 @@ func CreateHandler(cmd *cobra.Command, args []string) error {
path = tempfile
}
digest, err := createBlob(cmd, client, path)
digest, err := createBlob(cmd, client, path, spinner)
if err != nil {
return err
}
@@ -263,13 +265,20 @@ func tempZipFiles(path string) (string, error) {
return tempfile.Name(), nil
}
func createBlob(cmd *cobra.Command, client *api.Client, path string) (string, error) {
func createBlob(cmd *cobra.Command, client *api.Client, path string, spinner *progress.Spinner) (string, error) {
bin, err := os.Open(path)
if err != nil {
return "", err
}
defer bin.Close()
// Get file info to retrieve the size
fileInfo, err := bin.Stat()
if err != nil {
return "", err
}
fileSize := fileInfo.Size()
hash := sha256.New()
if _, err := io.Copy(hash, bin); err != nil {
return "", err
@@ -279,13 +288,43 @@ func createBlob(cmd *cobra.Command, client *api.Client, path string) (string, er
return "", err
}
var pw progressWriter
status := "transferring model data 0%"
spinner.SetMessage(status)
done := make(chan struct{})
defer close(done)
go func() {
ticker := time.NewTicker(60 * time.Millisecond)
defer ticker.Stop()
for {
select {
case <-ticker.C:
spinner.SetMessage(fmt.Sprintf("transferring model data %d%%", int(100*pw.n.Load()/fileSize)))
case <-done:
spinner.SetMessage("transferring model data 100%")
return
}
}
}()
digest := fmt.Sprintf("sha256:%x", hash.Sum(nil))
if err = client.CreateBlob(cmd.Context(), digest, bin); err != nil {
if err = client.CreateBlob(cmd.Context(), digest, io.TeeReader(bin, &pw)); err != nil {
return "", err
}
return digest, nil
}
type progressWriter struct {
n atomic.Int64
}
func (w *progressWriter) Write(p []byte) (n int, err error) {
w.n.Add(int64(len(p)))
return len(p), nil
}
func RunHandler(cmd *cobra.Command, args []string) error {
interactive := true
@@ -1086,7 +1125,7 @@ func generate(cmd *cobra.Command, opts runOptions) error {
return nil
}
func RunServer(cmd *cobra.Command, _ []string) error {
func RunServer(_ *cobra.Command, _ []string) error {
if err := initializeKeypair(); err != nil {
return err
}
@@ -1160,7 +1199,7 @@ func checkServerHeartbeat(cmd *cobra.Command, _ []string) error {
return err
}
if err := startApp(cmd.Context(), client); err != nil {
return fmt.Errorf("could not connect to ollama app, is it running?")
return errors.New("could not connect to ollama app, is it running?")
}
}
return nil

View File

@@ -604,7 +604,7 @@ func getImageData(filePath string) ([]byte, error) {
// Check if the file size exceeds 100MB
var maxSize int64 = 100 * 1024 * 1024 // 100MB in bytes
if info.Size() > maxSize {
return nil, fmt.Errorf("file size exceeds maximum limit (100MB)")
return nil, errors.New("file size exceeds maximum limit (100MB)")
}
buf = make([]byte, info.Size())

View File

@@ -2,7 +2,7 @@ package cmd
import (
"context"
"fmt"
"errors"
"os"
"os/exec"
"strings"
@@ -20,7 +20,7 @@ func startApp(ctx context.Context, client *api.Client) error {
return err
}
if !strings.Contains(link, "Ollama.app") {
return fmt.Errorf("could not find ollama app")
return errors.New("could not find ollama app")
}
path := strings.Split(link, "Ollama.app")
if err := exec.Command("/usr/bin/open", "-a", path[0]+"Ollama.app").Run(); err != nil {

View File

@@ -4,11 +4,11 @@ package cmd
import (
"context"
"fmt"
"errors"
"github.com/ollama/ollama/api"
)
func startApp(ctx context.Context, client *api.Client) error {
return fmt.Errorf("could not connect to ollama server, run 'ollama serve' to start it")
return errors.New("could not connect to ollama server, run 'ollama serve' to start it")
}

View File

@@ -31,7 +31,7 @@ func startApp(ctx context.Context, client *api.Client) error {
// Finally look in the path
appExe, err = exec.LookPath(AppName)
if err != nil {
return fmt.Errorf("could not locate ollama app")
return errors.New("could not locate ollama app")
}
}
}

View File

@@ -27,6 +27,10 @@ func (Parameters) KV(t *Tokenizer) llm.KV {
"tokenizer.ggml.token_type": t.Vocabulary.Types,
}
if len(t.Merges) > 0 {
kv["tokenizer.ggml.merges"] = t.Merges
}
if t.Template != "" {
kv["tokenizer.chat_template"] = t.Template
}
@@ -89,6 +93,8 @@ func Convert(fsys fs.FS, ws io.WriteSeeker) error {
conv = &mixtral{}
case "GemmaForCausalLM":
conv = &gemma{}
case "Phi3ForCausalLM":
conv = &phi3{}
default:
return errors.New("unsupported architecture")
}

View File

@@ -5,9 +5,10 @@ import (
"fmt"
"strings"
"github.com/ollama/ollama/llm"
"github.com/pdevine/tensor"
"github.com/pdevine/tensor/native"
"github.com/ollama/ollama/llm"
)
type llama struct {
@@ -89,10 +90,6 @@ func (p *llama) KV(t *Tokenizer) llm.KV {
kv["llama.attention.value_length"] = p.HeadDim
}
if len(t.Merges) > 0 {
kv["tokenizer.ggml.merges"] = t.Merges
}
return kv
}

125
convert/convert_phi3.go Normal file
View File

@@ -0,0 +1,125 @@
package convert
import (
"cmp"
"encoding/binary"
"io"
"math"
"strings"
"sync"
"github.com/ollama/ollama/llm"
)
type phi3 struct {
Parameters
NumHiddenLayers uint32 `json:"num_hidden_layers"`
NLayers uint32 `json:"n_layers"`
HiddenSize uint32 `json:"hidden_size"`
NEmbd uint32 `json:"n_embd"`
IntermediateSize uint32 `json:"intermediate_size"`
NumAttentionHeads uint32 `json:"num_attention_heads"`
NHead uint32 `json:"n_head"`
NumKeyValueHeads uint32 `json:"num_key_value_heads"`
NHeadKV uint32 `json:"n_head_kv"`
RopeTheta float32 `json:"rope_theta"`
RopeScaling struct {
Type string `json:"type"`
LongFactor ropeFactor `json:"long_factor"`
ShortFactor ropeFactor `json:"short_factor"`
} `json:"rope_scaling"`
RMSNormEPS float32 `json:"rms_norm_eps"`
NPositions uint32 `json:"n_positions"`
MaxPositionEmbeddings uint32 `json:"max_position_embeddings"`
OriginalMaxPositionEmbeddings uint32 `json:"original_max_position_embeddings"`
SlidingWindow uint32 `json:"sliding_window"`
}
var _ Converter = (*phi3)(nil)
func (p *phi3) KV(t *Tokenizer) llm.KV {
kv := p.Parameters.KV(t)
kv["general.architecture"] = "phi3"
kv["general.name"] = "phi3"
kv["phi3.context_length"] = p.MaxPositionEmbeddings
kv["phi3.embedding_length"] = cmp.Or(p.HiddenSize, p.NEmbd)
kv["phi3.feed_forward_length"] = p.IntermediateSize
kv["phi3.block_count"] = cmp.Or(p.NumHiddenLayers, p.NLayers)
kv["phi3.attention.head_count"] = cmp.Or(p.NumAttentionHeads, p.NHead)
kv["phi3.attention.head_count_kv"] = cmp.Or(p.NumKeyValueHeads, p.NHeadKV)
kv["phi3.attention.layer_norm_rms_epsilon"] = p.RMSNormEPS
kv["phi3.rope.dimension_count"] = p.HiddenSize / cmp.Or(p.NumAttentionHeads, p.NHead)
kv["phi3.rope.freq_base"] = p.RopeTheta
kv["phi3.rope.scaling.original_context_length"] = p.OriginalMaxPositionEmbeddings
kv["phi3.attention.sliding_window"] = p.SlidingWindow
scale := float64(p.MaxPositionEmbeddings) / float64(p.OriginalMaxPositionEmbeddings)
switch p.RopeScaling.Type {
case "":
// no scaling
case "su", "longrope":
kv["phi3.rope.scaling.attn_factor"] = float32(max(math.Sqrt(1+math.Log(scale)/math.Log(float64(p.OriginalMaxPositionEmbeddings))), 1.0))
case "yarn":
kv["phi3.rope.scaling.attn_factor"] = float32(max(0.1*math.Log(scale)+1.0, 1.0))
default:
panic("unknown rope scaling type")
}
return kv
}
func (p *phi3) Tensors(ts []Tensor) []llm.Tensor {
var addRopeFactors sync.Once
out := make([]llm.Tensor, 0, len(ts)+2)
for _, t := range ts {
name := p.tensorName(t.Name())
if strings.HasPrefix(name, "blk.0.") {
addRopeFactors.Do(func() {
out = append(out, llm.Tensor{
Name: "rope_factors_long.weight",
Kind: 0,
Shape: []uint64{uint64(len(p.RopeScaling.LongFactor))},
WriterTo: p.RopeScaling.LongFactor,
}, llm.Tensor{
Name: "rope_factors_short.weight",
Kind: 0,
Shape: []uint64{uint64(len(p.RopeScaling.ShortFactor))},
WriterTo: p.RopeScaling.ShortFactor,
})
})
}
out = append(out, llm.Tensor{
Name: name,
Kind: t.Kind(),
Shape: t.Shape(),
WriterTo: t,
})
}
return out
}
func (p *phi3) tensorName(n string) string {
return strings.NewReplacer(
"lm_head", "output",
"model.embed_tokens", "token_embd",
"model.norm", "output_norm",
"model.layers", "blk",
"input_layernorm", "attn_norm",
"self_attn.qkv_proj", "attn_qkv",
"self_attn.o_proj", "attn_output",
"mlp.down_proj", "ffn_down",
"mlp.gate_up_proj", "ffn_up",
"post_attention_layernorm", "ffn_norm",
).Replace(n)
}
type ropeFactor []float32
func (r ropeFactor) WriteTo(w io.Writer) (int64, error) {
err := binary.Write(w, binary.LittleEndian, r)
return 0, err
}

View File

@@ -2,6 +2,7 @@ package convert
import (
"crypto/sha256"
"encoding/hex"
"encoding/json"
"flag"
"fmt"
@@ -14,8 +15,9 @@ import (
"slices"
"testing"
"github.com/ollama/ollama/llm"
"golang.org/x/exp/maps"
"github.com/ollama/ollama/llm"
)
func convertFull(t *testing.T, fsys fs.FS) (*os.File, llm.KV, llm.Tensors) {
@@ -63,6 +65,8 @@ func TestConvertFull(t *testing.T) {
"Mistral-7B-Instruct-v0.2",
"Mixtral-8x7B-Instruct-v0.1",
"gemma-2b-it",
// microsoft/Phi-3-mini-128-instruct@d548c233192db00165d842bf8edff054bb3212f8
"Phi-3-mini-128k-instruct",
}
for i := range cases {
@@ -99,7 +103,7 @@ func TestConvertFull(t *testing.T) {
t.Fatal(err)
}
actual[tensor.Name] = fmt.Sprintf("%x", sha256sum.Sum(nil))
actual[tensor.Name] = hex.EncodeToString(sha256sum.Sum(nil))
}
expectFile, err := os.Open(filepath.Join("testdata", fmt.Sprintf("%s.json", tt)))

View File

@@ -10,8 +10,8 @@ import (
)
type ZipReader struct {
r *zip.Reader
p string
r *zip.Reader
p string
// limit is the maximum size of a file that can be read directly
// from the zip archive. Files larger than this size will be extracted

View File

@@ -111,8 +111,9 @@ func (st safetensor) WriteTo(w io.Writer) (int64, error) {
return 0, err
}
for _, b := range u16s {
f32s = append(f32s, float16.Frombits(b).Float32())
f32s = make([]float32, len(u16s))
for i := range u16s {
f32s[i] = float16.Frombits(u16s[i]).Float32()
}
case "BF16":

View File

@@ -0,0 +1,225 @@
{
"general.architecture": "phi3",
"general.file_type": "1",
"general.quantization_version": "2",
"phi3.block_count": "32",
"phi3.context_length": "131072",
"phi3.embedding_length": "3072",
"phi3.feed_forward_length": "8192",
"phi3.rope.scaling.original_context_length": "4096",
"phi3.rope.dimension_count": "96",
"phi3.rope.freq_base": "10000",
"phi3.rope.scaling.attn_factor": "1.1902381",
"phi3.attention.head_count": "32",
"phi3.attention.head_count_kv": "32",
"phi3.attention.layer_norm_rms_epsilon": "1e-05",
"phi3.attention.sliding_window": "262144",
"tokenizer.ggml.model": "llama",
"tokenizer.ggml.pre": "default",
"tokenizer.ggml.add_bos_token": "false",
"tokenizer.ggml.add_eos_token": "false",
"tokenizer.ggml.bos_token_id": "1",
"tokenizer.ggml.eos_token_id": "32000",
"tokenizer.ggml.unknown_token_id": "0",
"tokenizer.ggml.padding_token_id": "32000",
"tokenizer.ggml.scores": "6e37bcde2adc7e350e87c496eddd7a2124329c1dc66c5bf3ad3997253e4f7a62",
"tokenizer.ggml.token_type": "b6ecf55ec64ee67d87750bdb8d757a2c58bf78377e9f4219f5689a6c4dea57ce",
"tokenizer.ggml.tokens": "d168da3ddd3eee820916945fcb9baf24dd3cde42f606cffa2d19e7c8a8743918",
"blk.0.attn_norm.weight": "216aeb2c9e0c271f899e1ef2a63cceeb8f41e97642e84fada54b1d3c1c11cf25",
"blk.0.attn_output.weight": "b597d56f7188ffc1fafc273fadc59d41738cffd677ae98c61a62c3285b3a3099",
"blk.0.attn_qkv.weight": "d28a6b44e13f59be5483e4be2bedb544e346168d720aca27f47d1a5a722be91e",
"blk.0.ffn_down.weight": "4a691370e5a61fcbbf540fbcbf4c0f1d15dec0364528c0e916d0744f6262b63b",
"blk.0.ffn_norm.weight": "0c00af2b4a3128bec64a0cbb1084b042fdbe13d9ad0d03bd577f9449dfead338",
"blk.0.ffn_up.weight": "b32b52f790c1c083bfb8a3126dc1111cfeeb28dc8c584a930a1e5334cb176bf4",
"blk.1.attn_norm.weight": "68748011503c6c029e8e69a84a8e5a89338f378769627b6dbf7f93d715c292e1",
"blk.1.attn_output.weight": "2267344add13b048ca59e4377c86dc512be8046a57156901fa32a20fa74e4ee0",
"blk.1.attn_qkv.weight": "9109d2e3d7a2eacfda5226587b8be124a3bf44b972da7ebb17aa15795897eacc",
"blk.1.ffn_down.weight": "d675df4df4dd039c0c339ad6445d39eddd2004db6bf35bed6314c7497245a633",
"blk.1.ffn_norm.weight": "3b5767ae977bc8baaa06b06efdbea193b6b3ba605ce76d77a76ce317e935500c",
"blk.1.ffn_up.weight": "80dfd6d9d234b00334c89b8e0a02f81899c2efd377321c34ba5ba51a5f61b5ff",
"blk.2.attn_norm.weight": "6a6743b057e5088f145bc179e92c9bfb41163e7295d7b81c62e23dd89d2b59c4",
"blk.2.attn_output.weight": "bc5491ea54e0db81462d7d9b7d25cbdda380c2db8de041bd1c4ab7b76a1d19c3",
"blk.2.attn_qkv.weight": "a61287a9852e2f5aca9c100b471d98398b2913a3497c743de3c70ec9ddd7087f",
"blk.2.ffn_down.weight": "4fddcc382c8dceeab027fe43d8d44e67edb5e8ce4b9a1b7f773c87770380ade1",
"blk.2.ffn_norm.weight": "07e05f82b3f63f711db3b684ca79aed25c0657917e66f88af47348a82065c227",
"blk.2.ffn_up.weight": "4835a682ef1826c12df01ae7663fc45f9c82bc8e64b665f13fb7da8e201ec0fb",
"blk.3.attn_norm.weight": "f22aba7c03999ba7136f39cda747a39715e498699dc1716cd97fc5dfc58d1b1c",
"blk.3.attn_output.weight": "53b579855366fd786c5126b2b30aac4d583ca7bda56833c4865f5cadb5c18c6d",
"blk.3.attn_qkv.weight": "bb56aba78158123140fcea59c69ac562ca208f6d3086819417cdad8c50f333ad",
"blk.3.ffn_down.weight": "97280897a7cd86db2830c004bccc5bc094f50e293baded0189159a2019145a6e",
"blk.3.ffn_norm.weight": "10a8c99f8b57a960e8e0a1133c4a26f9148403d1b9bff2eff114917de996f3b5",
"blk.3.ffn_up.weight": "7324046c915e75d621b2043597a245a428d8eea31869135e6257a861491d8dcc",
"blk.4.attn_norm.weight": "507d8e164de94646edbfe33def8e8fbf7c9a6ee3fbaedb5000f72d9f51ec5e36",
"blk.4.attn_output.weight": "bbb3429e6efa98c150e0fdbf48c16180cbf0d0cbc1b3c253c6c319d78f4593a2",
"blk.4.attn_qkv.weight": "b95ee5be0786d3901273d806c339fe6c20e6bfffd2a20672a9f56af80921e8ab",
"blk.4.ffn_down.weight": "806bbf91df92a5a22bd5aa1ffb7fc2869f7293ffc7704771c290ecc583b27975",
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"blk.29.attn_output.weight": "ca44542a72a37476dc73dbdcc01f5b7497cb3ebc4ea230a55c9634ccd8e56ad4",
"blk.29.attn_qkv.weight": "abb3d9d6abe57872ae3daa51935d43264093ded5ce63b49d1e280ee5758be0e4",
"blk.29.ffn_down.weight": "6764b895fce881df097489c263446f0106de36217997660c15984b3ee22a5a06",
"blk.29.ffn_norm.weight": "89e03e9a33fc0e6e31ba9f0c2bd7c5734a118c5602bb90148793e08a80e8d0ae",
"blk.29.ffn_up.weight": "fa7ad57a84954f4121653152efed1a871d8adb20a1ea9086e3e849ce359d7d2e",
"blk.30.attn_norm.weight": "91a697aca1e42af54f806a20211031c3369e8d0bd58df1b0147fe24954e1f5a4",
"blk.30.attn_output.weight": "36063fcf766c89ac75be56f688cc63cefe5f2c733fbf4378ea9956ad386fa148",
"blk.30.attn_qkv.weight": "2cacd1161f1121a2c0b979930134f4666f73fb8d7237b3b0659ae091b15955a6",
"blk.30.ffn_down.weight": "9f3fcb6217100595850c05dc98f9ab2a263afdb6ab28df2fcb08aeff512057d7",
"blk.30.ffn_norm.weight": "6c600bc1fc7de39d4f8917b81fc7d1d5ed2a9b56492234c13a4bd6028c30d880",
"blk.30.ffn_up.weight": "73cabd1bb011956b2689ea3338bb76642ef3a57c197377d666d2ab5f56317668",
"blk.31.attn_norm.weight": "72d3e1cc771380645fa75a899858c95f39857a4f3f1ed60fe1578df383b8bc53",
"blk.31.attn_output.weight": "40089cdd29994dc19a1d89fa15902a89cfeca3540f12dc9bf4d00ef82506e456",
"blk.31.attn_qkv.weight": "1d0bb40e9258071ae14290a53c619a8e331dda07354d2a02ef45766c029ae5e4",
"blk.31.ffn_down.weight": "8defa0e06335b793fa8be03883f0a322d6c5b33f52c69c943c35c60d16e42c0a",
"blk.31.ffn_norm.weight": "33c55d9d0c496ccfb130361fe131649346e098abaaac39c0519507e5d846721d",
"blk.31.ffn_up.weight": "599f6503f61c692c1f82001973d35119f9688db5e6be9d9c298411491c93f09b",
"output.weight": "14b8dc662bfa3308ebb2e102c562d8e52c15670e538f20f3216a9c310ca9dd41",
"output_norm.weight": "7f2294ba94ce65681df6c7ddd8698799199b9d77dc83c10bdad5c3999f0fdb82",
"rope_factors_long.weight": "e34d378664e354652c38f47d10dafb0498ccc2fb042d39ff7fef768146fff22b",
"rope_factors_short.weight": "9379146a4988f373d362fe47b06c75e7fe7c54aa4dc9558758df79b7a87471fd",
"token_embd.weight": "19a03c1fb5ac0baee93b0a7d8b0f26e9a9b011e229b694afc50ebfc13d84f8bf"
}

View File

@@ -669,7 +669,7 @@ curl http://localhost:11434/api/chat -d '{
```
curl http://localhost:11434/api/chat -d '{
"model": "mistral",
"model": "llama3.1",
"messages": [
{
"role": "user",
@@ -708,7 +708,7 @@ curl http://localhost:11434/api/chat -d '{
```json
{
"model": "mistral:7b-instruct-v0.3-q4_K_M",
"model": "llama3.1",
"created_at": "2024-07-22T20:33:28.123648Z",
"message": {
"role": "assistant",
@@ -1175,7 +1175,10 @@ curl http://localhost:11434/api/embed -d '{
"embeddings": [[
0.010071029, -0.0017594862, 0.05007221, 0.04692972, 0.054916814,
0.008599704, 0.105441414, -0.025878139, 0.12958129, 0.031952348
]]
]],
"total_duration": 14143917,
"load_duration": 1019500,
"prompt_eval_count": 8
}
```

View File

@@ -1,71 +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 llama3.1
```
### Try different models
More models can be found on the [Ollama library](https://ollama.com/library).
# 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 llama3.1
```
### Try different models
More models can be found on the [Ollama library](https://ollama.com/library).

View File

@@ -16,7 +16,9 @@ If the model being imported is one of these architectures, it can be imported di
- LlamaForCausalLM
- MistralForCausalLM
- MixtralForCausalLM
- GemmaForCausalLM
- Phi3ForCausalLM
```dockerfile
FROM /path/to/safetensors/directory

View File

@@ -28,13 +28,35 @@ chat_completion = client.chat.completions.create(
model='llama3',
)
response = client.chat.completions.create(
model="llava",
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What's in this image?"},
{
"type": "image_url",
"image_url": "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",
},
],
}
],
max_tokens=300,
)
completion = client.completions.create(
model="llama3",
prompt="Say this is a test",
)
list_completion = client.models.list()
model = client.models.retrieve("llama3")
embeddings = client.embeddings.create(
model="all-minilm",
input=["why is the sky blue?", "why is the grass green?"]
input=["why is the sky blue?", "why is the grass green?"],
)
```
@@ -51,23 +73,44 @@ const openai = new OpenAI({
})
const chatCompletion = await openai.chat.completions.create({
messages: [{ role: 'user', content: 'Say this is a test' }],
model: 'llama3',
messages: [{ role: 'user', content: 'Say this is a test' }],
model: 'llama3',
})
const response = await openai.chat.completions.create({
model: "llava",
messages: [
{
role: "user",
content: [
{ type: "text", text: "What's in this image?" },
{
type: "image_url",
image_url: "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",
},
],
},
],
})
const completion = await openai.completions.create({
model: "llama3",
prompt: "Say this is a test.",
})
const listCompletion = await openai.models.list()
const model = await openai.models.retrieve("llama3");
const model = await openai.models.retrieve("llama3")
const embedding = await openai.embeddings.create({
model: "all-minilm",
input: ["why is the sky blue?", "why is the grass green?"],
});
})
```
### `curl`
```
``` shell
curl http://localhost:11434/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
@@ -84,6 +127,37 @@ curl http://localhost:11434/v1/chat/completions \
]
}'
curl http://localhost:11434/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "llava",
"messages": [
{
"role": "user",
"content": [
{
"type": "text",
"text": "What'\''s in this image?"
},
{
"type": "image_url",
"image_url": {
"url": "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"
}
}
]
}
],
"max_tokens": 300
}'
curl http://localhost:11434/v1/completions \
-H "Content-Type: application/json" \
-d '{
"model": "llama3",
"prompt": "Say this is a test"
}'
curl http://localhost:11434/v1/models
curl http://localhost:11434/v1/models/llama3
@@ -106,8 +180,8 @@ curl http://localhost:11434/v1/embeddings \
- [x] Streaming
- [x] JSON mode
- [x] Reproducible outputs
- [x] Vision
- [x] Tools (streaming support coming soon)
- [ ] Vision
- [ ] Logprobs
#### Supported request fields
@@ -115,7 +189,10 @@ curl http://localhost:11434/v1/embeddings \
- [x] `model`
- [x] `messages`
- [x] Text `content`
- [ ] Array of `content` parts
- [x] Image `content`
- [x] Base64 encoded image
- [ ] Image URL
- [x] Array of `content` parts
- [x] `frequency_penalty`
- [x] `presence_penalty`
- [x] `response_format`
@@ -131,6 +208,39 @@ curl http://localhost:11434/v1/embeddings \
- [ ] `user`
- [ ] `n`
### `/v1/completions`
#### Supported features
- [x] Completions
- [x] Streaming
- [x] JSON mode
- [x] Reproducible outputs
- [ ] Logprobs
#### Supported request fields
- [x] `model`
- [x] `prompt`
- [x] `frequency_penalty`
- [x] `presence_penalty`
- [x] `seed`
- [x] `stop`
- [x] `stream`
- [x] `temperature`
- [x] `top_p`
- [x] `max_tokens`
- [x] `suffix`
- [ ] `best_of`
- [ ] `echo`
- [ ] `logit_bias`
- [ ] `user`
- [ ] `n`
#### Notes
- `prompt` currently only accepts a string
### `/v1/models`
#### Notes

View File

@@ -112,15 +112,9 @@ Keep the following tips and best practices in mind when working with Go template
ChatML is a popular template format. It can be used for models such as Databrick's DBRX, Intel's Neural Chat, and Microsoft's Orca 2.
```gotmpl
{{- if .System }}<|im_start|>system
{{ .System }}<|im_end|>
{{ end }}
{{- range .Messages }}<|im_start|>{{ .Role }}
{{ .Content }}<|im_end|>
{{ end }}<|im_start|>assistant
{{ else }}
{{ if .System }}<|im_start|>system
{{ .System }}<|im_end|>
```
### Example Tools

View File

@@ -9,7 +9,7 @@ cat ~/.ollama/logs/server.log
On **Linux** systems with systemd, the logs can be found with this command:
```shell
journalctl -u ollama
journalctl -u ollama --no-pager
```
When you run Ollama in a **container**, the logs go to stdout/stderr in the container:

View File

@@ -3,6 +3,7 @@ package format
import (
"fmt"
"math"
"strconv"
)
const (
@@ -28,6 +29,6 @@ func HumanNumber(b uint64) string {
case b >= Thousand:
return fmt.Sprintf("%.0fK", float64(b)/Thousand)
default:
return fmt.Sprintf("%d", b)
return strconv.FormatUint(b, 10)
}
}

2
go.mod
View File

@@ -1,6 +1,6 @@
module github.com/ollama/ollama
go 1.22.0
go 1.22.5
require (
github.com/containerd/console v1.0.3

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@@ -3,7 +3,7 @@
package gpu
import (
"fmt"
"errors"
"log/slog"
"os"
"path/filepath"
@@ -95,5 +95,5 @@ func commonAMDValidateLibDir() (string, error) {
}
}
return "", fmt.Errorf("no suitable rocm found, falling back to CPU")
return "", errors.New("no suitable rocm found, falling back to CPU")
}

View File

@@ -1,6 +1,7 @@
package gpu
import (
"errors"
"fmt"
"log/slog"
"syscall"
@@ -76,7 +77,7 @@ func (hl *HipLib) Release() {
func (hl *HipLib) AMDDriverVersion() (driverMajor, driverMinor int, err error) {
if hl.dll == 0 {
return 0, 0, fmt.Errorf("dll has been unloaded")
return 0, 0, errors.New("dll has been unloaded")
}
var version int
status, _, err := syscall.SyscallN(hl.hipDriverGetVersion, uintptr(unsafe.Pointer(&version)))
@@ -110,7 +111,7 @@ func (hl *HipLib) HipGetDeviceCount() int {
func (hl *HipLib) HipSetDevice(device int) error {
if hl.dll == 0 {
return fmt.Errorf("dll has been unloaded")
return errors.New("dll has been unloaded")
}
status, _, err := syscall.SyscallN(hl.hipSetDevice, uintptr(device))
if status != hipSuccess {
@@ -121,7 +122,7 @@ func (hl *HipLib) HipSetDevice(device int) error {
func (hl *HipLib) HipGetDeviceProperties(device int) (*hipDevicePropMinimal, error) {
if hl.dll == 0 {
return nil, fmt.Errorf("dll has been unloaded")
return nil, errors.New("dll has been unloaded")
}
var props hipDevicePropMinimal
status, _, err := syscall.SyscallN(hl.hipGetDeviceProperties, uintptr(unsafe.Pointer(&props)), uintptr(device))
@@ -134,7 +135,7 @@ func (hl *HipLib) HipGetDeviceProperties(device int) (*hipDevicePropMinimal, err
// free, total, err
func (hl *HipLib) HipMemGetInfo() (uint64, uint64, error) {
if hl.dll == 0 {
return 0, 0, fmt.Errorf("dll has been unloaded")
return 0, 0, errors.New("dll has been unloaded")
}
var totalMemory uint64
var freeMemory uint64

View File

@@ -393,7 +393,7 @@ func AMDValidateLibDir() (string, error) {
// If we still haven't found a usable rocm, the user will have to install it on their own
slog.Warn("amdgpu detected, but no compatible rocm library found. Either install rocm v6, or follow manual install instructions at https://github.com/ollama/ollama/blob/main/docs/linux.md#manual-install")
return "", fmt.Errorf("no suitable rocm found, falling back to CPU")
return "", errors.New("no suitable rocm found, falling back to CPU")
}
func AMDDriverVersion() (driverMajor, driverMinor int, err error) {

View File

@@ -2,7 +2,7 @@ package gpu
import (
"bytes"
"fmt"
"errors"
"log/slog"
"os"
"path/filepath"
@@ -85,7 +85,7 @@ func AMDGetGPUInfo() []RocmGPUInfo {
n = bytes.IndexByte(props.GcnArchName[:], 0)
gfx := string(props.GcnArchName[:n])
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
// 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("unsupported Radeon iGPU detected skipping", "id", i, "name", name, "gfx", gfx)
@@ -161,7 +161,7 @@ func AMDValidateLibDir() (string, error) {
// Should not happen on windows since we include it in the installer, but stand-alone binary might hit this
slog.Warn("amdgpu detected, but no compatible rocm library found. Please install ROCm")
return "", fmt.Errorf("no suitable rocm found, falling back to CPU")
return "", errors.New("no suitable rocm found, falling back to CPU")
}
func (gpus RocmGPUInfoList) RefreshFreeMemory() error {

View File

@@ -42,20 +42,16 @@ func PayloadsDir() (string, error) {
return "", fmt.Errorf("failed to generate tmp dir: %w", err)
}
} else {
err = os.MkdirAll(tmpDir, 0755)
err = os.MkdirAll(tmpDir, 0o755)
if err != nil {
return "", fmt.Errorf("failed to generate tmp dir %s: %w", tmpDir, err)
}
}
// Track our pid so we can clean up orphaned tmpdirs
pidFilePath := filepath.Join(tmpDir, "ollama.pid")
pidFile, err := os.OpenFile(pidFilePath, os.O_CREATE|os.O_TRUNC|os.O_WRONLY, os.ModePerm)
if err != nil {
return "", err
}
if _, err := pidFile.Write([]byte(fmt.Sprint(os.Getpid()))); err != nil {
return "", err
n := filepath.Join(tmpDir, "ollama.pid")
if err := os.WriteFile(n, []byte(strconv.Itoa(os.Getpid())), 0o644); err != nil {
return "", fmt.Errorf("failed to write pid file %s: %w", n, err)
}
// We create a distinct subdirectory for payloads within the tmpdir
@@ -67,37 +63,44 @@ func PayloadsDir() (string, error) {
// Best effort to clean up prior tmpdirs
func cleanupTmpDirs() {
dirs, err := filepath.Glob(filepath.Join(os.TempDir(), "ollama*"))
matches, err := filepath.Glob(filepath.Join(os.TempDir(), "ollama*", "ollama.pid"))
if err != nil {
return
}
for _, d := range dirs {
info, err := os.Stat(d)
if err != nil || !info.IsDir() {
for _, match := range matches {
raw, err := os.ReadFile(match)
if errors.Is(err, os.ErrNotExist) {
slog.Debug("not a ollama runtime directory, skipping", "path", match)
continue
}
raw, err := os.ReadFile(filepath.Join(d, "ollama.pid"))
if err != nil {
slog.Warn("failed to read ollama.pid", "path", d, "error", err)
// No pid, ignore this tmpdir
} else if err != nil {
slog.Warn("could not read ollama.pid, skipping", "path", match, "error", err)
continue
}
pid, err := strconv.Atoi(string(raw))
if err != nil {
slog.Warn("failed to parse pid", "path", d, "error", err)
slog.Warn("invalid pid, skipping", "path", match, "error", err)
continue
}
proc, err := os.FindProcess(pid)
if err == nil && !errors.Is(proc.Signal(syscall.Signal(0)), os.ErrProcessDone) {
slog.Warn("found running ollama", "pid", pid, "path", d)
// Another running ollama, ignore this tmpdir
p, err := os.FindProcess(pid)
if err == nil && !errors.Is(p.Signal(syscall.Signal(0)), os.ErrProcessDone) {
slog.Warn("process still running, skipping", "pid", pid, "path", match)
continue
}
if err := os.Remove(d); err != nil {
slog.Warn("unable to cleanup stale tmpdir", "path", d, "error", err)
if err := os.Remove(match); err != nil {
slog.Warn("could not cleanup stale pidfile", "path", match, "error", err)
}
runners := filepath.Join(filepath.Dir(match), "runners")
if err := os.RemoveAll(runners); err != nil {
slog.Warn("could not cleanup stale runners", "path", runners, "error", err)
}
if err := os.Remove(filepath.Dir(match)); err != nil {
slog.Warn("could not cleanup stale tmpdir", "path", filepath.Dir(match), "error", err)
}
}
}

View File

@@ -1,6 +1,11 @@
package gpu
import (
"os"
"path/filepath"
"runtime"
"strings"
"golang.org/x/sys/cpu"
)
@@ -14,3 +19,19 @@ func GetCPUCapability() CPUCapability {
// else LCD
return CPUCapabilityNone
}
func IsNUMA() bool {
if runtime.GOOS != "linux" {
// numa support in llama.cpp is linux only
return false
}
ids := map[string]interface{}{}
packageIds, _ := filepath.Glob("/sys/devices/system/cpu/cpu*/topology/physical_package_id")
for _, packageId := range packageIds {
id, err := os.ReadFile(packageId)
if err == nil {
ids[strings.TrimSpace(string(id))] = struct{}{}
}
}
return len(ids) > 1
}

View File

@@ -7,9 +7,9 @@ package gpu
#cgo windows LDFLAGS: -lpthread
#include "gpu_info.h"
*/
import "C"
import (
"fmt"
"log/slog"
@@ -70,7 +70,6 @@ var CudaTegra string = os.Getenv("JETSON_JETPACK")
// Note: gpuMutex must already be held
func initCudaHandles() *cudaHandles {
// TODO - if the ollama build is CPU only, don't do these checks as they're irrelevant and confusing
cHandles := &cudaHandles{}
@@ -211,14 +210,16 @@ func GetGPUInfo() GpuInfoList {
if err != nil {
slog.Warn("error looking up system memory", "error", err)
}
cpus = []CPUInfo{CPUInfo{
GpuInfo: GpuInfo{
memInfo: mem,
Library: "cpu",
Variant: cpuCapability,
ID: "0",
cpus = []CPUInfo{
{
GpuInfo: GpuInfo{
memInfo: mem,
Library: "cpu",
Variant: cpuCapability,
ID: "0",
},
},
}}
}
// Fallback to CPU mode if we're lacking required vector extensions on x86
if cpuCapability < GPURunnerCPUCapability && runtime.GOARCH == "amd64" {
@@ -304,38 +305,41 @@ func GetGPUInfo() GpuInfoList {
// Intel
if envconfig.IntelGPU() {
oHandles = initOneAPIHandles()
// On windows we bundle the oneapi library one level above the runner dir
depPath = ""
if runtime.GOOS == "windows" && envconfig.RunnersDir() != "" {
depPath = filepath.Join(filepath.Dir(envconfig.RunnersDir()), "oneapi")
}
if oHandles != nil && oHandles.oneapi != nil {
for d := range oHandles.oneapi.num_drivers {
if oHandles.oneapi == nil {
// shouldn't happen
slog.Warn("nil oneapi handle with driver count", "count", int(oHandles.oneapi.num_drivers))
continue
// On windows we bundle the oneapi library one level above the runner dir
depPath = ""
if runtime.GOOS == "windows" && envconfig.RunnersDir() != "" {
depPath = filepath.Join(filepath.Dir(envconfig.RunnersDir()), "oneapi")
}
devCount := C.oneapi_get_device_count(*oHandles.oneapi, C.int(d))
for i := range devCount {
gpuInfo := OneapiGPUInfo{
GpuInfo: GpuInfo{
Library: "oneapi",
},
driverIndex: int(d),
gpuIndex: int(i),
for d := range oHandles.oneapi.num_drivers {
if oHandles.oneapi == nil {
// shouldn't happen
slog.Warn("nil oneapi handle with driver count", "count", int(oHandles.oneapi.num_drivers))
continue
}
devCount := C.oneapi_get_device_count(*oHandles.oneapi, C.int(d))
for i := range devCount {
gpuInfo := OneapiGPUInfo{
GpuInfo: GpuInfo{
Library: "oneapi",
},
driverIndex: int(d),
gpuIndex: int(i),
}
// TODO - split bootstrapping from updating free memory
C.oneapi_check_vram(*oHandles.oneapi, C.int(d), i, &memInfo)
// TODO - convert this to MinimumMemory based on testing...
var totalFreeMem float64 = float64(memInfo.free) * 0.95 // work-around: leave some reserve vram for mkl lib used in ggml-sycl backend.
memInfo.free = C.uint64_t(totalFreeMem)
gpuInfo.TotalMemory = uint64(memInfo.total)
gpuInfo.FreeMemory = uint64(memInfo.free)
gpuInfo.ID = C.GoString(&memInfo.gpu_id[0])
gpuInfo.Name = C.GoString(&memInfo.gpu_name[0])
gpuInfo.DependencyPath = depPath
oneapiGPUs = append(oneapiGPUs, gpuInfo)
}
// TODO - split bootstrapping from updating free memory
C.oneapi_check_vram(*oHandles.oneapi, C.int(d), i, &memInfo)
// TODO - convert this to MinimumMemory based on testing...
var totalFreeMem float64 = float64(memInfo.free) * 0.95 // work-around: leave some reserve vram for mkl lib used in ggml-sycl backend.
memInfo.free = C.uint64_t(totalFreeMem)
gpuInfo.TotalMemory = uint64(memInfo.total)
gpuInfo.FreeMemory = uint64(memInfo.free)
gpuInfo.ID = C.GoString(&memInfo.gpu_id[0])
gpuInfo.Name = C.GoString(&memInfo.gpu_name[0])
gpuInfo.DependencyPath = depPath
oneapiGPUs = append(oneapiGPUs, gpuInfo)
}
}
}

View File

@@ -8,6 +8,7 @@ package gpu
#include "gpu_info_darwin.h"
*/
import "C"
import (
"runtime"

View File

@@ -67,4 +67,4 @@ void cpu_check_ram(mem_info_t *resp);
#include "gpu_info_oneapi.h"
#endif // __GPU_INFO_H__
#endif // __APPLE__
#endif // __APPLE__

View File

@@ -43,10 +43,12 @@ var OneapiGlobs = []string{
"/usr/lib*/libze_intel_gpu.so*",
}
var CudartMgmtName = "libcudart.so*"
var NvcudaMgmtName = "libcuda.so*"
var NvmlMgmtName = "" // not currently wired on linux
var OneapiMgmtName = "libze_intel_gpu.so"
var (
CudartMgmtName = "libcudart.so*"
NvcudaMgmtName = "libcuda.so*"
NvmlMgmtName = "" // not currently wired on linux
OneapiMgmtName = "libze_intel_gpu.so"
)
func GetCPUMem() (memInfo, error) {
var mem memInfo

View File

@@ -40,10 +40,12 @@ var OneapiGlobs = []string{
"c:\\Windows\\System32\\DriverStore\\FileRepository\\*\\ze_intel_gpu64.dll",
}
var CudartMgmtName = "cudart64_*.dll"
var NvcudaMgmtName = "nvcuda.dll"
var NvmlMgmtName = "nvml.dll"
var OneapiMgmtName = "ze_intel_gpu64.dll"
var (
CudartMgmtName = "cudart64_*.dll"
NvcudaMgmtName = "nvcuda.dll"
NvmlMgmtName = "nvml.dll"
OneapiMgmtName = "ze_intel_gpu64.dll"
)
func GetCPUMem() (memInfo, error) {
memStatus := MEMORYSTATUSEX{length: sizeofMemoryStatusEx}

View File

@@ -5,6 +5,7 @@ package integration
import (
"context"
"log/slog"
"os"
"strconv"
"sync"
"testing"
@@ -13,7 +14,6 @@ import (
"github.com/stretchr/testify/require"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/envconfig"
"github.com/ollama/ollama/format"
)
@@ -41,8 +41,8 @@ func TestMultiModelConcurrency(t *testing.T) {
},
}
resp = [2][]string{
[]string{"sunlight"},
[]string{"england", "english", "massachusetts", "pilgrims", "british"},
{"sunlight"},
{"england", "english", "massachusetts", "pilgrims", "british"},
}
)
var wg sync.WaitGroup
@@ -71,12 +71,11 @@ func TestIntegrationConcurrentPredictOrcaMini(t *testing.T) {
reqLimit := len(req)
iterLimit := 5
vram := os.Getenv("OLLAMA_MAX_VRAM") // TODO - discover actual VRAM
if vram != "" {
max, err := strconv.ParseUint(vram, 10, 64)
if s := os.Getenv("OLLAMA_MAX_VRAM"); s != "" {
maxVram, err := strconv.ParseUint(s, 10, 64)
require.NoError(t, err)
// Don't hammer on small VRAM cards...
if max < 4*1024*1024*1024 {
if maxVram < 4*format.GibiByte {
reqLimit = min(reqLimit, 2)
iterLimit = 2
}
@@ -233,12 +232,12 @@ func TestMultiModelStress(t *testing.T) {
consumed := uint64(256 * format.MebiByte) // Assume some baseline usage
for i := 0; i < len(req); i++ {
// Always get at least 2 models, but dont' overshoot VRAM too much or we'll take too long
if i > 1 && consumed > vram {
slog.Info("achieved target vram exhaustion", "count", i, "vram", format.HumanBytes2(vram), "models", format.HumanBytes2(consumed))
if i > 1 && consumed > maxVram {
slog.Info("achieved target vram exhaustion", "count", i, "vram", format.HumanBytes2(maxVram), "models", format.HumanBytes2(consumed))
break
}
consumed += chosenModels[i].size
slog.Info("target vram", "count", i, "vram", format.HumanBytes2(vram), "models", format.HumanBytes2(consumed))
slog.Info("target vram", "count", i, "vram", format.HumanBytes2(maxVram), "models", format.HumanBytes2(consumed))
wg.Add(1)
go func(i int) {

View File

@@ -35,8 +35,8 @@ var (
},
}
resp = [2][]string{
[]string{"sunlight"},
[]string{"england", "english", "massachusetts", "pilgrims"},
{"sunlight"},
{"england", "english", "massachusetts", "pilgrims"},
}
)

View File

@@ -29,7 +29,7 @@ func TestMaxQueue(t *testing.T) {
// Also note that by default Darwin can't sustain > ~128 connections without adjusting limits
threadCount := 32
if maxQueue := envconfig.MaxQueue(); maxQueue != 0 {
threadCount = maxQueue
threadCount = int(maxQueue)
} else {
t.Setenv("OLLAMA_MAX_QUEUE", strconv.Itoa(threadCount))
}

View File

@@ -162,7 +162,7 @@ func PullIfMissing(ctx context.Context, client *api.Client, modelName string) er
fn := func(resp api.ProgressResponse) error {
// fmt.Print(".")
if !stallTimer.Reset(stallDuration) {
return fmt.Errorf("stall was detected, aborting status reporting")
return errors.New("stall was detected, aborting status reporting")
}
return nil
}
@@ -180,7 +180,7 @@ func PullIfMissing(ctx context.Context, client *api.Client, modelName string) er
select {
case <-stallTimer.C:
return fmt.Errorf("download stalled")
return errors.New("download stalled")
case <-done:
return pullError
}
@@ -243,7 +243,7 @@ func DoGenerate(ctx context.Context, t *testing.T, client *api.Client, genReq ap
// fmt.Print(".")
buf.Write([]byte(response.Response))
if !stallTimer.Reset(streamTimeout) {
return fmt.Errorf("stall was detected while streaming response, aborting")
return errors.New("stall was detected while streaming response, aborting")
}
return nil
}
@@ -334,10 +334,10 @@ func GenerateRequests() ([]api.GenerateRequest, [][]string) {
},
},
[][]string{
[]string{"sunlight"},
[]string{"soil", "organic", "earth", "black", "tan"},
[]string{"england", "english", "massachusetts", "pilgrims", "british"},
[]string{"fourth", "july", "declaration", "independence"},
[]string{"nitrogen", "oxygen", "carbon", "dioxide"},
{"sunlight"},
{"soil", "organic", "earth", "black", "tan"},
{"england", "english", "massachusetts", "pilgrims", "british"},
{"fourth", "july", "declaration", "independence"},
{"nitrogen", "oxygen", "carbon", "dioxide"},
}
}

View File

@@ -1,13 +1,13 @@
set(TARGET ollama_llama_server)
option(LLAMA_SERVER_VERBOSE "Build verbose logging option for Server" ON)
include_directories(${CMAKE_CURRENT_SOURCE_DIR})
add_executable(${TARGET} server.cpp utils.hpp json.hpp httplib.h)
install(TARGETS ${TARGET} RUNTIME)
target_compile_definitions(${TARGET} PRIVATE
SERVER_VERBOSE=$<BOOL:${LLAMA_SERVER_VERBOSE}>
)
target_link_libraries(${TARGET} PRIVATE ggml llama common llava ${CMAKE_THREAD_LIBS_INIT})
if (WIN32)
TARGET_LINK_LIBRARIES(${TARGET} PRIVATE ws2_32)
endif()
set(TARGET ollama_llama_server)
option(LLAMA_SERVER_VERBOSE "Build verbose logging option for Server" ON)
include_directories(${CMAKE_CURRENT_SOURCE_DIR})
add_executable(${TARGET} server.cpp utils.hpp json.hpp httplib.h)
install(TARGETS ${TARGET} RUNTIME)
target_compile_definitions(${TARGET} PRIVATE
SERVER_VERBOSE=$<BOOL:${LLAMA_SERVER_VERBOSE}>
)
target_link_libraries(${TARGET} PRIVATE ggml llama common llava ${CMAKE_THREAD_LIBS_INIT})
if (WIN32)
TARGET_LINK_LIBRARIES(${TARGET} PRIVATE ws2_32)
endif()
target_compile_features(${TARGET} PRIVATE cxx_std_11)

View File

@@ -44,6 +44,7 @@
#include <errhandlingapi.h>
#endif
#include <algorithm>
#include <cstddef>
#include <thread>
#include <chrono>
@@ -402,7 +403,9 @@ struct llama_server_context
}
}
std::tie(model, ctx) = llama_init_from_gpt_params(params);
auto init_result = llama_init_from_gpt_params(params);
model = init_result.model;
ctx = init_result.context;
if (model == nullptr)
{
LOG_ERROR("unable to load model", {{"model", params.model}});
@@ -1221,7 +1224,6 @@ struct llama_server_context
res.result_json = json
{
{"embedding", std::vector<float>(embd, embd + n_embd)},
{"timings", slot.get_formated_timings()},
};
}
}
@@ -2420,7 +2422,10 @@ static void server_params_parse(int argc, char **argv, server_params &sparams, g
invalid_param = true;
break;
}
params.lora_adapter.emplace_back(argv[i], 1.0f);
params.lora_adapters.push_back({
std::string(argv[i]),
1.0,
});
params.use_mmap = false;
}
else if (arg == "--lora-scaled")
@@ -2436,7 +2441,10 @@ static void server_params_parse(int argc, char **argv, server_params &sparams, g
invalid_param = true;
break;
}
params.lora_adapter.emplace_back(lora_adapter, std::stof(argv[i]));
params.lora_adapters.push_back({
lora_adapter,
std::stof(argv[i])
});
params.use_mmap = false;
}
else if (arg == "-v" || arg == "--verbose")
@@ -3184,37 +3192,17 @@ int main(int argc, char **argv) {
prompt = "";
}
if (prompt.size() == 1) {
prompt = prompt[0];
}
// create and queue the task
json responses;
{
const int id_task = llama.queue_tasks.get_new_id();
llama.queue_results.add_waiting_task_id(id_task);
llama.request_completion(id_task, {{"prompt", prompt}}, true, -1);
const int task_id = llama.queue_tasks.get_new_id();
llama.queue_results.add_waiting_task_id(task_id);
llama.request_completion(task_id, {{"prompt", prompt}}, true, -1);
// get the result
task_result result = llama.queue_results.recv(id_task);
llama.queue_results.remove_waiting_task_id(id_task);
if (result.error) {
return res.set_content(result.result_json.dump(), "application/json; charset=utf-8");
}
// get the result
task_result result = llama.queue_results.recv(task_id);
llama.queue_results.remove_waiting_task_id(task_id);
responses = result.result_json.value("results", std::vector<json>{result.result_json});
json embeddings = json::array();
int prompt_n = 0;
for (auto & elem : responses) {
embeddings.push_back(elem.at("embedding"));
prompt_n += elem.at("timings").at("prompt_n").get<int>();
}
// send the result
json embedding_res = json{{"embedding", embeddings}, {"prompt_n", prompt_n}};
return res.set_content(embedding_res.dump(), "application/json; charset=utf-8");
}
// send the result
return res.set_content(result.result_json.dump(), "application/json; charset=utf-8");
});
// GG: if I put the main loop inside a thread, it crashes on the first request when build in Debug!?

View File

@@ -157,6 +157,14 @@ type Tensor struct {
io.WriterTo `json:"-"`
}
func (t Tensor) block() (n int) {
if _, err := fmt.Sscanf(t.Name, "blk.%d.", &n); err != nil {
return -1
}
return
}
func (t Tensor) blockSize() uint64 {
switch t.Kind {
case 0, 1, 24, 25, 26, 27, 28, 30: // F32, F16, I8, I16, I32, I64, F64, BF16

View File

@@ -532,15 +532,14 @@ func WriteGGUF(ws io.WriteSeeker, kv KV, ts []Tensor) error {
}
}
slices.SortFunc(ts, func(a, b Tensor) int {
var i, j int
if n, err := fmt.Sscanf(a.Name, "blk.%d", &i); err != nil || n != 1 {
return cmp.Compare(a.Name, b.Name)
} else if n, err := fmt.Sscanf(b.Name, "blk.%d", &j); err != nil || n != 1 {
return cmp.Compare(a.Name, b.Name)
slices.SortStableFunc(ts, func(a, b Tensor) int {
if i, j := a.block(), b.block(); i < 0 && j > 0 {
return 1
} else if i > 0 && j < 0 {
return -1
} else {
return cmp.Compare(i, j)
}
return cmp.Compare(i, j)
})
var s uint64

View File

@@ -11,8 +11,9 @@ package llm
// #include <stdlib.h>
// #include "llama.h"
import "C"
import (
"fmt"
"errors"
"unsafe"
)
@@ -33,7 +34,7 @@ func Quantize(infile, outfile string, ftype fileType) error {
params.ftype = ftype.Value()
if rc := C.llama_model_quantize(cinfile, coutfile, &params); rc != 0 {
return fmt.Errorf("failed to quantize model. This model architecture may not be supported, or you may need to upgrade Ollama to the latest version")
return errors.New("failed to quantize model. This model architecture may not be supported, or you may need to upgrade Ollama to the latest version")
}
return nil

View File

@@ -6,10 +6,11 @@ import (
"os"
"testing"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/gpu"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/gpu"
)
func TestEstimateGPULayers(t *testing.T) {

View File

@@ -1,40 +1,32 @@
diff --git a/common/common.cpp b/common/common.cpp
index dbb724fb..c26fe6ee 100644
index 2e8374d5..70d0afde 100644
--- a/common/common.cpp
+++ b/common/common.cpp
@@ -2087,14 +2087,27 @@ std::tuple<struct llama_model *, struct llama_context *> llama_init_from_gpt_par
for (unsigned int i = 0; i < params.lora_adapter.size(); ++i) {
const std::string & lora_adapter = std::get<0>(params.lora_adapter[i]);
float lora_scale = std::get<1>(params.lora_adapter[i]);
+
+ // try to load as gguf
auto adapter = llama_lora_adapter_init(model, lora_adapter.c_str());
if (adapter == nullptr) {
- fprintf(stderr, "%s: error: failed to apply lora adapter\n", __func__);
@@ -2110,9 +2110,21 @@ struct llama_init_result llama_init_from_gpt_params(gpt_params & params) {
loaded_la.adapter = llama_lora_adapter_init(model, la.path.c_str());
if (loaded_la.adapter == nullptr) {
fprintf(stderr, "%s: error: failed to apply lora adapter '%s'\n", __func__, la.path.c_str());
- llama_free(lctx);
- llama_free_model(model);
- return std::make_tuple(nullptr, nullptr);
+ fprintf(stderr, "%s: error: failed to apply lora adapter, trying ggla\n", __func__);
- return iparams;
+
+ // if that fails, try loading as ggla for compatibility
+ int err = llama_model_apply_lora_from_file(model,
+ lora_adapter.c_str(),
+ lora_scale,
+ la.path.c_str(),
+ la.scale,
+ nullptr,
+ params.n_threads);
+ if (err != 0) {
+ fprintf(stderr, "%s: error: failed to apply lora adapter\n", __func__);
+ llama_free(lctx);
+ llama_free_model(model);
+ return std::make_tuple(nullptr, nullptr);
+ return iparams;
+ } else {
+ break;
+ }
+ } else {
+ llama_lora_adapter_set(lctx, adapter, lora_scale);
}
- llama_lora_adapter_set(lctx, adapter, lora_scale);
iparams.lora_adapters.push_back(loaded_la); // copy to list of loaded adapters
}
if (params.ignore_eos) {
diff --git a/include/llama.h b/include/llama.h
index 93fd77ca..b0fb37a6 100644
--- a/include/llama.h
@@ -355,4 +347,4 @@ index 80a0dd0f..9d7b0e17 100644
+ return 1;
+ }
+}
\ No newline at end of file
\ No newline at end of file

View File

@@ -1,20 +0,0 @@
diff --git a/src/llama.cpp b/src/llama.cpp
index a207451f..fba6b175 100644
--- a/src/llama.cpp
+++ b/src/llama.cpp
@@ -4969,6 +4969,7 @@ static void llm_load_hparams(
hparams.attn_soft_cap = true;
switch (hparams.n_layer) {
+ case 26: model.type = e_model::MODEL_2B; break;
case 42: model.type = e_model::MODEL_9B; break;
case 46: model.type = e_model::MODEL_27B; break;
default: model.type = e_model::MODEL_UNKNOWN;
@@ -11736,6 +11737,7 @@ struct llm_build_context {
// ref: https://github.com/google/gemma_pytorch/commit/03e657582d17cb5a8617ebf333c1c16f3694670e
switch (model.type) {
+ case e_model::MODEL_2B: Qcur = ggml_scale(ctx0, Qcur, 1.0f / sqrtf(float(n_embd_head_k))); break;
case e_model::MODEL_9B: Qcur = ggml_scale(ctx0, Qcur, 1.0f / sqrtf(float(n_embd_head_k))); break;
case e_model::MODEL_27B: Qcur = ggml_scale(ctx0, Qcur, 1.0f / sqrtf(float(n_embd / n_head))); break;
default: GGML_ABORT("fatal error");

View File

@@ -33,7 +33,7 @@ type LlamaServer interface {
Ping(ctx context.Context) error
WaitUntilRunning(ctx context.Context) error
Completion(ctx context.Context, req CompletionRequest, fn func(CompletionResponse)) error
Embed(ctx context.Context, input []string) (*EmbedResponse, error)
Embedding(ctx context.Context, input string) ([]float32, error)
Tokenize(ctx context.Context, content string) ([]int, error)
Detokenize(ctx context.Context, tokens []int) (string, error)
Close() error
@@ -44,11 +44,12 @@ type LlamaServer interface {
// llmServer is an instance of the llama.cpp server
type llmServer struct {
port int
cmd *exec.Cmd
done chan error // Channel to signal when the process exits
status *StatusWriter
options api.Options
port int
cmd *exec.Cmd
done chan error // Channel to signal when the process exits
status *StatusWriter
options api.Options
numParallel int
estimate MemoryEstimate
totalLayers uint64
@@ -124,8 +125,9 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
}
}
// On linux, over-allocating CPU memory will almost always result in an error
if runtime.GOOS == "linux" {
// On linux and windows, over-allocating CPU memory will almost always result in an error
// Darwin has fully dynamic swap so has no direct concept of free swap space
if runtime.GOOS != "darwin" {
systemMemoryRequired := estimate.TotalSize - estimate.VRAMSize
available := systemFreeMemory + systemSwapFreeMemory
if systemMemoryRequired > available {
@@ -184,15 +186,15 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
params := []string{
"--model", model,
"--ctx-size", fmt.Sprintf("%d", opts.NumCtx),
"--batch-size", fmt.Sprintf("%d", opts.NumBatch),
"--ctx-size", strconv.Itoa(opts.NumCtx),
"--batch-size", strconv.Itoa(opts.NumBatch),
"--embedding",
}
params = append(params, "--log-disable")
if opts.NumGPU >= 0 {
params = append(params, "--n-gpu-layers", fmt.Sprintf("%d", opts.NumGPU))
params = append(params, "--n-gpu-layers", strconv.Itoa(opts.NumGPU))
}
if envconfig.Debug() {
@@ -200,7 +202,7 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
}
if opts.MainGPU > 0 {
params = append(params, "--main-gpu", fmt.Sprintf("%d", opts.MainGPU))
params = append(params, "--main-gpu", strconv.Itoa(opts.MainGPU))
}
if len(adapters) > 0 {
@@ -214,7 +216,7 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
}
if opts.NumThread > 0 {
params = append(params, "--threads", fmt.Sprintf("%d", opts.NumThread))
params = append(params, "--threads", strconv.Itoa(opts.NumThread))
}
if !opts.F16KV {
@@ -256,11 +258,17 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
params = append(params, "--mlock")
}
if opts.UseNUMA {
params = append(params, "--numa")
if gpu.IsNUMA() {
numaMode := "distribute"
if runtime.GOOS == "linux" {
if _, err := exec.LookPath("numactl"); err == nil {
numaMode = "numactl"
}
}
params = append(params, "--numa", numaMode)
}
params = append(params, "--parallel", fmt.Sprintf("%d", numParallel))
params = append(params, "--parallel", strconv.Itoa(numParallel))
if estimate.TensorSplit != "" {
params = append(params, "--tensor-split", estimate.TensorSplit)
@@ -337,6 +345,7 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
status: NewStatusWriter(os.Stderr),
options: opts,
estimate: estimate,
numParallel: numParallel,
sem: semaphore.NewWeighted(int64(numParallel)),
totalLayers: ggml.KV().BlockCount() + 1,
gpus: gpus,
@@ -425,7 +434,7 @@ func NewLlamaServer(gpus gpu.GpuInfoList, model string, ggml *GGML, adapters, pr
if strings.Contains(s.status.LastErrMsg, "unknown model") {
s.status.LastErrMsg = "this model is not supported by your version of Ollama. You may need to upgrade"
}
s.done <- fmt.Errorf(s.status.LastErrMsg)
s.done <- errors.New(s.status.LastErrMsg)
} else {
s.done <- err
}
@@ -874,16 +883,15 @@ func (s *llmServer) Completion(ctx context.Context, req CompletionRequest, fn fu
return nil
}
type EmbedRequest struct {
Content []string `json:"content"`
type EmbeddingRequest struct {
Content string `json:"content"`
}
type EmbedResponse struct {
Embedding [][]float32 `json:"embedding"`
PromptEvalCount int `json:"prompt_n"`
type EmbeddingResponse struct {
Embedding []float32 `json:"embedding"`
}
func (s *llmServer) Embed(ctx context.Context, input []string) (*EmbedResponse, error) {
func (s *llmServer) Embedding(ctx context.Context, input string) ([]float32, error) {
if err := s.sem.Acquire(ctx, 1); err != nil {
slog.Error("Failed to acquire semaphore", "error", err)
return nil, err
@@ -898,18 +906,18 @@ func (s *llmServer) Embed(ctx context.Context, input []string) (*EmbedResponse,
return nil, fmt.Errorf("unexpected server status: %s", status.ToString())
}
data, err := json.Marshal(EmbedRequest{Content: input})
data, err := json.Marshal(EmbeddingRequest{Content: input})
if err != nil {
return nil, fmt.Errorf("error marshaling embed data: %w", err)
}
req, err := http.NewRequestWithContext(ctx, http.MethodPost, fmt.Sprintf("http://127.0.0.1:%d/embedding", s.port), bytes.NewBuffer(data))
r, err := http.NewRequestWithContext(ctx, http.MethodPost, fmt.Sprintf("http://127.0.0.1:%d/embedding", s.port), bytes.NewBuffer(data))
if err != nil {
return nil, fmt.Errorf("error creating embed request: %w", err)
}
req.Header.Set("Content-Type", "application/json")
r.Header.Set("Content-Type", "application/json")
resp, err := http.DefaultClient.Do(req)
resp, err := http.DefaultClient.Do(r)
if err != nil {
return nil, fmt.Errorf("do embedding request: %w", err)
}
@@ -925,12 +933,12 @@ func (s *llmServer) Embed(ctx context.Context, input []string) (*EmbedResponse,
return nil, fmt.Errorf("%s", body)
}
var e EmbedResponse
var e EmbeddingResponse
if err := json.Unmarshal(body, &e); err != nil {
return nil, fmt.Errorf("unmarshal tokenize response: %w", err)
}
return &e, nil
return e.Embedding, nil
}
type TokenizeRequest struct {

View File

@@ -26,6 +26,7 @@ var errorPrefixes = []string{
"cudaMalloc failed",
"\"ERR\"",
"error loading model",
"GGML_ASSERT",
}
func (w *StatusWriter) Write(b []byte) (int, error) {

View File

@@ -3,8 +3,9 @@ package main
import (
"context"
"github.com/ollama/ollama/cmd"
"github.com/spf13/cobra"
"github.com/ollama/ollama/cmd"
)
func main() {

View File

@@ -5,6 +5,7 @@ import (
"bytes"
"encoding/base64"
"encoding/json"
"errors"
"fmt"
"io"
"log/slog"
@@ -14,6 +15,7 @@ import (
"time"
"github.com/gin-gonic/gin"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/types/model"
)
@@ -367,24 +369,24 @@ func fromChatRequest(r ChatCompletionRequest) (*api.ChatRequest, error) {
for _, c := range content {
data, ok := c.(map[string]any)
if !ok {
return nil, fmt.Errorf("invalid message format")
return nil, errors.New("invalid message format")
}
switch data["type"] {
case "text":
text, ok := data["text"].(string)
if !ok {
return nil, fmt.Errorf("invalid message format")
return nil, errors.New("invalid message format")
}
messages = append(messages, api.Message{Role: msg.Role, Content: text})
case "image_url":
var url string
if urlMap, ok := data["image_url"].(map[string]any); ok {
if url, ok = urlMap["url"].(string); !ok {
return nil, fmt.Errorf("invalid message format")
return nil, errors.New("invalid message format")
}
} else {
if url, ok = data["image_url"].(string); !ok {
return nil, fmt.Errorf("invalid message format")
return nil, errors.New("invalid message format")
}
}
@@ -400,17 +402,17 @@ func fromChatRequest(r ChatCompletionRequest) (*api.ChatRequest, error) {
}
if !valid {
return nil, fmt.Errorf("invalid image input")
return nil, errors.New("invalid image input")
}
img, err := base64.StdEncoding.DecodeString(url)
if err != nil {
return nil, fmt.Errorf("invalid message format")
return nil, errors.New("invalid message format")
}
messages = append(messages, api.Message{Role: msg.Role, Images: []api.ImageData{img}})
default:
return nil, fmt.Errorf("invalid message format")
return nil, errors.New("invalid message format")
}
}
default:
@@ -423,7 +425,7 @@ func fromChatRequest(r ChatCompletionRequest) (*api.ChatRequest, error) {
toolCalls[i].Function.Name = tc.Function.Name
err := json.Unmarshal([]byte(tc.Function.Arguments), &toolCalls[i].Function.Arguments)
if err != nil {
return nil, fmt.Errorf("invalid tool call arguments")
return nil, errors.New("invalid tool call arguments")
}
}
messages = append(messages, api.Message{Role: msg.Role, ToolCalls: toolCalls})
@@ -737,14 +739,12 @@ func (w *RetrieveWriter) Write(data []byte) (int, error) {
func (w *EmbedWriter) writeResponse(data []byte) (int, error) {
var embedResponse api.EmbedResponse
err := json.Unmarshal(data, &embedResponse)
if err != nil {
return 0, err
}
w.ResponseWriter.Header().Set("Content-Type", "application/json")
err = json.NewEncoder(w.ResponseWriter).Encode(toEmbeddingList(w.model, embedResponse))
if err != nil {
return 0, err
}

View File

@@ -7,24 +7,22 @@ import (
"io"
"net/http"
"net/http/httptest"
"reflect"
"strings"
"testing"
"time"
"github.com/gin-gonic/gin"
"github.com/ollama/ollama/api"
"github.com/stretchr/testify/assert"
)
const prefix = `data:image/jpeg;base64,`
const image = `iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNk+A8AAQUBAScY42YAAAAASUVORK5CYII=`
const imageURL = prefix + image
const (
prefix = `data:image/jpeg;base64,`
image = `iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNk+A8AAQUBAScY42YAAAAASUVORK5CYII=`
)
func prepareRequest(req *http.Request, body any) {
bodyBytes, _ := json.Marshal(body)
req.Body = io.NopCloser(bytes.NewReader(bodyBytes))
req.Header.Set("Content-Type", "application/json")
}
var False = false
func captureRequestMiddleware(capturedRequest any) gin.HandlerFunc {
return func(c *gin.Context) {
@@ -40,134 +38,136 @@ func captureRequestMiddleware(capturedRequest any) gin.HandlerFunc {
func TestChatMiddleware(t *testing.T) {
type testCase struct {
Name string
Setup func(t *testing.T, req *http.Request)
Expected func(t *testing.T, req *api.ChatRequest, resp *httptest.ResponseRecorder)
name string
body string
req api.ChatRequest
err ErrorResponse
}
var capturedRequest *api.ChatRequest
testCases := []testCase{
{
Name: "chat handler",
Setup: func(t *testing.T, req *http.Request) {
body := ChatCompletionRequest{
Model: "test-model",
Messages: []Message{{Role: "user", Content: "Hello"}},
}
prepareRequest(req, body)
},
Expected: func(t *testing.T, req *api.ChatRequest, resp *httptest.ResponseRecorder) {
if resp.Code != http.StatusOK {
t.Fatalf("expected 200, got %d", resp.Code)
}
if req.Messages[0].Role != "user" {
t.Fatalf("expected 'user', got %s", req.Messages[0].Role)
}
if req.Messages[0].Content != "Hello" {
t.Fatalf("expected 'Hello', got %s", req.Messages[0].Content)
}
name: "chat handler",
body: `{
"model": "test-model",
"messages": [
{"role": "user", "content": "Hello"}
]
}`,
req: api.ChatRequest{
Model: "test-model",
Messages: []api.Message{
{
Role: "user",
Content: "Hello",
},
},
Options: map[string]any{
"temperature": 1.0,
"top_p": 1.0,
},
Stream: &False,
},
},
{
Name: "chat handler with image content",
Setup: func(t *testing.T, req *http.Request) {
body := ChatCompletionRequest{
Model: "test-model",
Messages: []Message{
{
Role: "user", Content: []map[string]any{
{"type": "text", "text": "Hello"},
{"type": "image_url", "image_url": map[string]string{"url": imageURL}},
name: "chat handler with image content",
body: `{
"model": "test-model",
"messages": [
{
"role": "user",
"content": [
{
"type": "text",
"text": "Hello"
},
{
"type": "image_url",
"image_url": {
"url": "` + prefix + image + `"
}
}
]
}
]
}`,
req: api.ChatRequest{
Model: "test-model",
Messages: []api.Message{
{
Role: "user",
Content: "Hello",
},
{
Role: "user",
Images: []api.ImageData{
func() []byte {
img, _ := base64.StdEncoding.DecodeString(image)
return img
}(),
},
},
},
Options: map[string]any{
"temperature": 1.0,
"top_p": 1.0,
},
Stream: &False,
},
},
{
name: "chat handler with tools",
body: `{
"model": "test-model",
"messages": [
{"role": "user", "content": "What's the weather like in Paris Today?"},
{"role": "assistant", "tool_calls": [{"id": "id", "type": "function", "function": {"name": "get_current_weather", "arguments": "{\"location\": \"Paris, France\", \"format\": \"celsius\"}"}}]}
]
}`,
req: api.ChatRequest{
Model: "test-model",
Messages: []api.Message{
{
Role: "user",
Content: "What's the weather like in Paris Today?",
},
{
Role: "assistant",
ToolCalls: []api.ToolCall{
{
Function: api.ToolCallFunction{
Name: "get_current_weather",
Arguments: map[string]interface{}{
"location": "Paris, France",
"format": "celsius",
},
},
},
},
},
}
prepareRequest(req, body)
},
Expected: func(t *testing.T, req *api.ChatRequest, resp *httptest.ResponseRecorder) {
if resp.Code != http.StatusOK {
t.Fatalf("expected 200, got %d", resp.Code)
}
if req.Messages[0].Role != "user" {
t.Fatalf("expected 'user', got %s", req.Messages[0].Role)
}
if req.Messages[0].Content != "Hello" {
t.Fatalf("expected 'Hello', got %s", req.Messages[0].Content)
}
img, _ := base64.StdEncoding.DecodeString(imageURL[len(prefix):])
if req.Messages[1].Role != "user" {
t.Fatalf("expected 'user', got %s", req.Messages[1].Role)
}
if !bytes.Equal(req.Messages[1].Images[0], img) {
t.Fatalf("expected image encoding, got %s", req.Messages[1].Images[0])
}
},
Options: map[string]any{
"temperature": 1.0,
"top_p": 1.0,
},
Stream: &False,
},
},
{
Name: "chat handler with tools",
Setup: func(t *testing.T, req *http.Request) {
body := ChatCompletionRequest{
Model: "test-model",
Messages: []Message{
{Role: "user", Content: "What's the weather like in Paris Today?"},
{Role: "assistant", ToolCalls: []ToolCall{{
ID: "id",
Type: "function",
Function: struct {
Name string `json:"name"`
Arguments string `json:"arguments"`
}{
Name: "get_current_weather",
Arguments: "{\"location\": \"Paris, France\", \"format\": \"celsius\"}",
},
}}},
},
}
prepareRequest(req, body)
},
Expected: func(t *testing.T, req *api.ChatRequest, resp *httptest.ResponseRecorder) {
if resp.Code != 200 {
t.Fatalf("expected 200, got %d", resp.Code)
}
if req.Messages[0].Content != "What's the weather like in Paris Today?" {
t.Fatalf("expected What's the weather like in Paris Today?, got %s", req.Messages[0].Content)
}
if req.Messages[1].ToolCalls[0].Function.Arguments["location"] != "Paris, France" {
t.Fatalf("expected 'Paris, France', got %v", req.Messages[1].ToolCalls[0].Function.Arguments["location"])
}
if req.Messages[1].ToolCalls[0].Function.Arguments["format"] != "celsius" {
t.Fatalf("expected celsius, got %v", req.Messages[1].ToolCalls[0].Function.Arguments["format"])
}
},
},
{
Name: "chat handler error forwarding",
Setup: func(t *testing.T, req *http.Request) {
body := ChatCompletionRequest{
Model: "test-model",
Messages: []Message{{Role: "user", Content: 2}},
}
prepareRequest(req, body)
},
Expected: func(t *testing.T, req *api.ChatRequest, resp *httptest.ResponseRecorder) {
if resp.Code != http.StatusBadRequest {
t.Fatalf("expected 400, got %d", resp.Code)
}
if !strings.Contains(resp.Body.String(), "invalid message content type") {
t.Fatalf("error was not forwarded")
}
name: "chat handler error forwarding",
body: `{
"model": "test-model",
"messages": [
{"role": "user", "content": 2}
]
}`,
err: ErrorResponse{
Error: Error{
Message: "invalid message content type: float64",
Type: "invalid_request_error",
},
},
},
}
@@ -182,16 +182,26 @@ func TestChatMiddleware(t *testing.T) {
router.Handle(http.MethodPost, "/api/chat", endpoint)
for _, tc := range testCases {
t.Run(tc.Name, func(t *testing.T) {
req, _ := http.NewRequest(http.MethodPost, "/api/chat", nil)
tc.Setup(t, req)
t.Run(tc.name, func(t *testing.T) {
req, _ := http.NewRequest(http.MethodPost, "/api/chat", strings.NewReader(tc.body))
req.Header.Set("Content-Type", "application/json")
resp := httptest.NewRecorder()
router.ServeHTTP(resp, req)
tc.Expected(t, capturedRequest, resp)
var errResp ErrorResponse
if resp.Code != http.StatusOK {
if err := json.Unmarshal(resp.Body.Bytes(), &errResp); err != nil {
t.Fatal(err)
}
}
if capturedRequest != nil && !reflect.DeepEqual(tc.req, *capturedRequest) {
t.Fatal("requests did not match")
}
if !reflect.DeepEqual(tc.err, errResp) {
t.Fatal("errors did not match")
}
capturedRequest = nil
})
}
@@ -199,71 +209,52 @@ func TestChatMiddleware(t *testing.T) {
func TestCompletionsMiddleware(t *testing.T) {
type testCase struct {
Name string
Setup func(t *testing.T, req *http.Request)
Expected func(t *testing.T, req *api.GenerateRequest, resp *httptest.ResponseRecorder)
name string
body string
req api.GenerateRequest
err ErrorResponse
}
var capturedRequest *api.GenerateRequest
testCases := []testCase{
{
Name: "completions handler",
Setup: func(t *testing.T, req *http.Request) {
temp := float32(0.8)
body := CompletionRequest{
Model: "test-model",
Prompt: "Hello",
Temperature: &temp,
Stop: []string{"\n", "stop"},
Suffix: "suffix",
}
prepareRequest(req, body)
},
Expected: func(t *testing.T, req *api.GenerateRequest, resp *httptest.ResponseRecorder) {
if req.Prompt != "Hello" {
t.Fatalf("expected 'Hello', got %s", req.Prompt)
}
if req.Options["temperature"] != 1.6 {
t.Fatalf("expected 1.6, got %f", req.Options["temperature"])
}
stopTokens, ok := req.Options["stop"].([]any)
if !ok {
t.Fatalf("expected stop tokens to be a list")
}
if stopTokens[0] != "\n" || stopTokens[1] != "stop" {
t.Fatalf("expected ['\\n', 'stop'], got %v", stopTokens)
}
if req.Suffix != "suffix" {
t.Fatalf("expected 'suffix', got %s", req.Suffix)
}
name: "completions handler",
body: `{
"model": "test-model",
"prompt": "Hello",
"temperature": 0.8,
"stop": ["\n", "stop"],
"suffix": "suffix"
}`,
req: api.GenerateRequest{
Model: "test-model",
Prompt: "Hello",
Options: map[string]any{
"frequency_penalty": 0.0,
"presence_penalty": 0.0,
"temperature": 1.6,
"top_p": 1.0,
"stop": []any{"\n", "stop"},
},
Suffix: "suffix",
Stream: &False,
},
},
{
Name: "completions handler error forwarding",
Setup: func(t *testing.T, req *http.Request) {
body := CompletionRequest{
Model: "test-model",
Prompt: "Hello",
Temperature: nil,
Stop: []int{1, 2},
Suffix: "suffix",
}
prepareRequest(req, body)
},
Expected: func(t *testing.T, req *api.GenerateRequest, resp *httptest.ResponseRecorder) {
if resp.Code != http.StatusBadRequest {
t.Fatalf("expected 400, got %d", resp.Code)
}
if !strings.Contains(resp.Body.String(), "invalid type for 'stop' field") {
t.Fatalf("error was not forwarded")
}
name: "completions handler error forwarding",
body: `{
"model": "test-model",
"prompt": "Hello",
"temperature": null,
"stop": [1, 2],
"suffix": "suffix"
}`,
err: ErrorResponse{
Error: Error{
Message: "invalid type for 'stop' field: float64",
Type: "invalid_request_error",
},
},
},
}
@@ -278,15 +269,27 @@ func TestCompletionsMiddleware(t *testing.T) {
router.Handle(http.MethodPost, "/api/generate", endpoint)
for _, tc := range testCases {
t.Run(tc.Name, func(t *testing.T) {
req, _ := http.NewRequest(http.MethodPost, "/api/generate", nil)
tc.Setup(t, req)
t.Run(tc.name, func(t *testing.T) {
req, _ := http.NewRequest(http.MethodPost, "/api/generate", strings.NewReader(tc.body))
req.Header.Set("Content-Type", "application/json")
resp := httptest.NewRecorder()
router.ServeHTTP(resp, req)
tc.Expected(t, capturedRequest, resp)
var errResp ErrorResponse
if resp.Code != http.StatusOK {
if err := json.Unmarshal(resp.Body.Bytes(), &errResp); err != nil {
t.Fatal(err)
}
}
if capturedRequest != nil && !reflect.DeepEqual(tc.req, *capturedRequest) {
t.Fatal("requests did not match")
}
if !reflect.DeepEqual(tc.err, errResp) {
t.Fatal("errors did not match")
}
capturedRequest = nil
})
@@ -295,78 +298,47 @@ func TestCompletionsMiddleware(t *testing.T) {
func TestEmbeddingsMiddleware(t *testing.T) {
type testCase struct {
Name string
Setup func(t *testing.T, req *http.Request)
Expected func(t *testing.T, req *api.EmbedRequest, resp *httptest.ResponseRecorder)
name string
body string
req api.EmbedRequest
err ErrorResponse
}
var capturedRequest *api.EmbedRequest
testCases := []testCase{
{
Name: "embed handler single input",
Setup: func(t *testing.T, req *http.Request) {
body := EmbedRequest{
Input: "Hello",
Model: "test-model",
}
prepareRequest(req, body)
},
Expected: func(t *testing.T, req *api.EmbedRequest, resp *httptest.ResponseRecorder) {
if req.Input != "Hello" {
t.Fatalf("expected 'Hello', got %s", req.Input)
}
if req.Model != "test-model" {
t.Fatalf("expected 'test-model', got %s", req.Model)
}
name: "embed handler single input",
body: `{
"input": "Hello",
"model": "test-model"
}`,
req: api.EmbedRequest{
Input: "Hello",
Model: "test-model",
},
},
{
Name: "embed handler batch input",
Setup: func(t *testing.T, req *http.Request) {
body := EmbedRequest{
Input: []string{"Hello", "World"},
Model: "test-model",
}
prepareRequest(req, body)
},
Expected: func(t *testing.T, req *api.EmbedRequest, resp *httptest.ResponseRecorder) {
input, ok := req.Input.([]any)
if !ok {
t.Fatalf("expected input to be a list")
}
if input[0].(string) != "Hello" {
t.Fatalf("expected 'Hello', got %s", input[0])
}
if input[1].(string) != "World" {
t.Fatalf("expected 'World', got %s", input[1])
}
if req.Model != "test-model" {
t.Fatalf("expected 'test-model', got %s", req.Model)
}
name: "embed handler batch input",
body: `{
"input": ["Hello", "World"],
"model": "test-model"
}`,
req: api.EmbedRequest{
Input: []any{"Hello", "World"},
Model: "test-model",
},
},
{
Name: "embed handler error forwarding",
Setup: func(t *testing.T, req *http.Request) {
body := EmbedRequest{
Model: "test-model",
}
prepareRequest(req, body)
},
Expected: func(t *testing.T, req *api.EmbedRequest, resp *httptest.ResponseRecorder) {
if resp.Code != http.StatusBadRequest {
t.Fatalf("expected 400, got %d", resp.Code)
}
if !strings.Contains(resp.Body.String(), "invalid input") {
t.Fatalf("error was not forwarded")
}
name: "embed handler error forwarding",
body: `{
"model": "test-model"
}`,
err: ErrorResponse{
Error: Error{
Message: "invalid input",
Type: "invalid_request_error",
},
},
},
}
@@ -381,116 +353,167 @@ func TestEmbeddingsMiddleware(t *testing.T) {
router.Handle(http.MethodPost, "/api/embed", endpoint)
for _, tc := range testCases {
t.Run(tc.Name, func(t *testing.T) {
req, _ := http.NewRequest(http.MethodPost, "/api/embed", nil)
tc.Setup(t, req)
t.Run(tc.name, func(t *testing.T) {
req, _ := http.NewRequest(http.MethodPost, "/api/embed", strings.NewReader(tc.body))
req.Header.Set("Content-Type", "application/json")
resp := httptest.NewRecorder()
router.ServeHTTP(resp, req)
tc.Expected(t, capturedRequest, resp)
var errResp ErrorResponse
if resp.Code != http.StatusOK {
if err := json.Unmarshal(resp.Body.Bytes(), &errResp); err != nil {
t.Fatal(err)
}
}
if capturedRequest != nil && !reflect.DeepEqual(tc.req, *capturedRequest) {
t.Fatal("requests did not match")
}
if !reflect.DeepEqual(tc.err, errResp) {
t.Fatal("errors did not match")
}
capturedRequest = nil
})
}
}
func TestMiddlewareResponses(t *testing.T) {
func TestListMiddleware(t *testing.T) {
type testCase struct {
Name string
Method string
Path string
TestPath string
Handler func() gin.HandlerFunc
Endpoint func(c *gin.Context)
Setup func(t *testing.T, req *http.Request)
Expected func(t *testing.T, resp *httptest.ResponseRecorder)
name string
endpoint func(c *gin.Context)
resp string
}
testCases := []testCase{
{
Name: "list handler",
Method: http.MethodGet,
Path: "/api/tags",
TestPath: "/api/tags",
Handler: ListMiddleware,
Endpoint: func(c *gin.Context) {
name: "list handler",
endpoint: func(c *gin.Context) {
c.JSON(http.StatusOK, api.ListResponse{
Models: []api.ListModelResponse{
{
Name: "Test Model",
Name: "test-model",
ModifiedAt: time.Unix(int64(1686935002), 0).UTC(),
},
},
})
},
Expected: func(t *testing.T, resp *httptest.ResponseRecorder) {
var listResp ListCompletion
if err := json.NewDecoder(resp.Body).Decode(&listResp); err != nil {
t.Fatal(err)
}
if listResp.Object != "list" {
t.Fatalf("expected list, got %s", listResp.Object)
}
if len(listResp.Data) != 1 {
t.Fatalf("expected 1, got %d", len(listResp.Data))
}
if listResp.Data[0].Id != "Test Model" {
t.Fatalf("expected Test Model, got %s", listResp.Data[0].Id)
}
},
resp: `{
"object": "list",
"data": [
{
"id": "test-model",
"object": "model",
"created": 1686935002,
"owned_by": "library"
}
]
}`,
},
{
Name: "retrieve model",
Method: http.MethodGet,
Path: "/api/show/:model",
TestPath: "/api/show/test-model",
Handler: RetrieveMiddleware,
Endpoint: func(c *gin.Context) {
c.JSON(http.StatusOK, api.ShowResponse{
ModifiedAt: time.Date(2024, 6, 17, 13, 45, 0, 0, time.UTC),
})
},
Expected: func(t *testing.T, resp *httptest.ResponseRecorder) {
var retrieveResp Model
if err := json.NewDecoder(resp.Body).Decode(&retrieveResp); err != nil {
t.Fatal(err)
}
if retrieveResp.Object != "model" {
t.Fatalf("Expected object to be model, got %s", retrieveResp.Object)
}
if retrieveResp.Id != "test-model" {
t.Fatalf("Expected id to be test-model, got %s", retrieveResp.Id)
}
name: "list handler empty output",
endpoint: func(c *gin.Context) {
c.JSON(http.StatusOK, api.ListResponse{})
},
resp: `{
"object": "list",
"data": null
}`,
},
}
gin.SetMode(gin.TestMode)
router := gin.New()
for _, tc := range testCases {
t.Run(tc.Name, func(t *testing.T) {
router = gin.New()
router.Use(tc.Handler())
router.Handle(tc.Method, tc.Path, tc.Endpoint)
req, _ := http.NewRequest(tc.Method, tc.TestPath, nil)
router := gin.New()
router.Use(ListMiddleware())
router.Handle(http.MethodGet, "/api/tags", tc.endpoint)
req, _ := http.NewRequest(http.MethodGet, "/api/tags", nil)
if tc.Setup != nil {
tc.Setup(t, req)
}
resp := httptest.NewRecorder()
router.ServeHTTP(resp, req)
resp := httptest.NewRecorder()
router.ServeHTTP(resp, req)
var expected, actual map[string]any
err := json.Unmarshal([]byte(tc.resp), &expected)
if err != nil {
t.Fatalf("failed to unmarshal expected response: %v", err)
}
assert.Equal(t, http.StatusOK, resp.Code)
err = json.Unmarshal(resp.Body.Bytes(), &actual)
if err != nil {
t.Fatalf("failed to unmarshal actual response: %v", err)
}
tc.Expected(t, resp)
})
if !reflect.DeepEqual(expected, actual) {
t.Errorf("responses did not match\nExpected: %+v\nActual: %+v", expected, actual)
}
}
}
func TestRetrieveMiddleware(t *testing.T) {
type testCase struct {
name string
endpoint func(c *gin.Context)
resp string
}
testCases := []testCase{
{
name: "retrieve handler",
endpoint: func(c *gin.Context) {
c.JSON(http.StatusOK, api.ShowResponse{
ModifiedAt: time.Unix(int64(1686935002), 0).UTC(),
})
},
resp: `{
"id":"test-model",
"object":"model",
"created":1686935002,
"owned_by":"library"}
`,
},
{
name: "retrieve handler error forwarding",
endpoint: func(c *gin.Context) {
c.JSON(http.StatusBadRequest, gin.H{"error": "model not found"})
},
resp: `{
"error": {
"code": null,
"message": "model not found",
"param": null,
"type": "api_error"
}
}`,
},
}
gin.SetMode(gin.TestMode)
for _, tc := range testCases {
router := gin.New()
router.Use(RetrieveMiddleware())
router.Handle(http.MethodGet, "/api/show/:model", tc.endpoint)
req, _ := http.NewRequest(http.MethodGet, "/api/show/test-model", nil)
resp := httptest.NewRecorder()
router.ServeHTTP(resp, req)
var expected, actual map[string]any
err := json.Unmarshal([]byte(tc.resp), &expected)
if err != nil {
t.Fatalf("failed to unmarshal expected response: %v", err)
}
err = json.Unmarshal(resp.Body.Bytes(), &actual)
if err != nil {
t.Fatalf("failed to unmarshal actual response: %v", err)
}
if !reflect.DeepEqual(expected, actual) {
t.Errorf("responses did not match\nExpected: %+v\nActual: %+v", expected, actual)
}
}
}

View File

@@ -82,7 +82,7 @@ TEMPLATE """ {{ if .System }}<|start_header_id|>system<|end_header_id|>
}
func TestParseFileFrom(t *testing.T) {
var cases = []struct {
cases := []struct {
input string
expected []Command
err error
@@ -185,7 +185,7 @@ BADCOMMAND param1 value1
}
func TestParseFileMessages(t *testing.T) {
var cases = []struct {
cases := []struct {
input string
expected []Command
err error
@@ -276,7 +276,7 @@ MESSAGE system`,
}
func TestParseFileQuoted(t *testing.T) {
var cases = []struct {
cases := []struct {
multiline string
expected []Command
err error
@@ -430,7 +430,7 @@ TEMPLATE """
}
func TestParseFileParameters(t *testing.T) {
var cases = map[string]struct {
cases := map[string]struct {
name, value string
}{
"numa true": {"numa", "true"},
@@ -491,7 +491,7 @@ func TestParseFileParameters(t *testing.T) {
}
func TestParseFileComments(t *testing.T) {
var cases = []struct {
cases := []struct {
input string
expected []Command
}{
@@ -516,7 +516,7 @@ FROM foo
}
func TestParseFileFormatParseFile(t *testing.T) {
var cases = []string{
cases := []string{
`
FROM foo
ADAPTER adapter1

View File

@@ -6,8 +6,9 @@ import (
"strings"
"time"
"github.com/ollama/ollama/format"
"golang.org/x/term"
"github.com/ollama/ollama/format"
)
type Bar struct {

View File

@@ -3,11 +3,12 @@ package progress
import (
"fmt"
"strings"
"sync/atomic"
"time"
)
type Spinner struct {
message string
message atomic.Value
messageWidth int
parts []string
@@ -21,20 +22,25 @@ type Spinner struct {
func NewSpinner(message string) *Spinner {
s := &Spinner{
message: message,
parts: []string{
"⠋", "⠙", "⠹", "⠸", "⠼", "⠴", "⠦", "⠧", "⠇", "⠏",
},
started: time.Now(),
}
s.SetMessage(message)
go s.start()
return s
}
func (s *Spinner) SetMessage(message string) {
s.message.Store(message)
}
func (s *Spinner) String() string {
var sb strings.Builder
if len(s.message) > 0 {
message := strings.TrimSpace(s.message)
if message, ok := s.message.Load().(string); ok && len(message) > 0 {
message := strings.TrimSpace(message)
if s.messageWidth > 0 && len(message) > s.messageWidth {
message = message[:s.messageWidth]
}

View File

@@ -13,7 +13,7 @@ type Buffer struct {
DisplayPos int
Pos int
Buf *arraylist.List
//LineHasSpace is an arraylist of bools to keep track of whether a line has a space at the end
// LineHasSpace is an arraylist of bools to keep track of whether a line has a space at the end
LineHasSpace *arraylist.List
Prompt *Prompt
LineWidth int
@@ -56,13 +56,13 @@ func (b *Buffer) GetLineSpacing(line int) bool {
func (b *Buffer) MoveLeft() {
if b.Pos > 0 {
//asserts that we retrieve a rune
// asserts that we retrieve a rune
if e, ok := b.Buf.Get(b.Pos - 1); ok {
if r, ok := e.(rune); ok {
rLength := runewidth.RuneWidth(r)
if b.DisplayPos%b.LineWidth == 0 {
fmt.Printf(CursorUp + CursorBOL + cursorRightN(b.Width))
fmt.Print(CursorUp + CursorBOL + CursorRightN(b.Width))
if rLength == 2 {
fmt.Print(CursorLeft)
}
@@ -74,7 +74,7 @@ func (b *Buffer) MoveLeft() {
fmt.Print(CursorLeft)
}
} else {
fmt.Print(cursorLeftN(rLength))
fmt.Print(CursorLeftN(rLength))
}
b.Pos -= 1
@@ -115,15 +115,15 @@ func (b *Buffer) MoveRight() {
b.DisplayPos += rLength
if b.DisplayPos%b.LineWidth == 0 {
fmt.Printf(CursorDown + CursorBOL + cursorRightN(len(b.Prompt.prompt())))
fmt.Print(CursorDown + CursorBOL + CursorRightN(len(b.Prompt.prompt())))
} else if (b.DisplayPos-rLength)%b.LineWidth == b.LineWidth-1 && hasSpace {
fmt.Printf(CursorDown + CursorBOL + cursorRightN(len(b.Prompt.prompt())+rLength))
fmt.Print(CursorDown + CursorBOL + CursorRightN(len(b.Prompt.prompt())+rLength))
b.DisplayPos += 1
} else if b.LineHasSpace.Size() > 0 && b.DisplayPos%b.LineWidth == b.LineWidth-1 && hasSpace {
fmt.Printf(CursorDown + CursorBOL + cursorRightN(len(b.Prompt.prompt())))
fmt.Print(CursorDown + CursorBOL + CursorRightN(len(b.Prompt.prompt())))
b.DisplayPos += 1
} else {
fmt.Print(cursorRightN(rLength))
fmt.Print(CursorRightN(rLength))
}
}
}
@@ -154,7 +154,7 @@ func (b *Buffer) MoveToStart() {
fmt.Print(CursorUp)
}
}
fmt.Printf(CursorBOL + cursorRightN(len(b.Prompt.prompt())))
fmt.Print(CursorBOL + CursorRightN(len(b.Prompt.prompt())))
b.Pos = 0
b.DisplayPos = 0
}
@@ -169,9 +169,9 @@ func (b *Buffer) MoveToEnd() {
fmt.Print(CursorDown)
}
remainder := b.DisplaySize() % b.LineWidth
fmt.Printf(CursorBOL + cursorRightN(len(b.Prompt.prompt())+remainder))
fmt.Print(CursorBOL + CursorRightN(len(b.Prompt.prompt())+remainder))
} else {
fmt.Print(cursorRightN(b.DisplaySize() - b.DisplayPos))
fmt.Print(CursorRightN(b.DisplaySize() - b.DisplayPos))
}
b.Pos = b.Buf.Size()
@@ -286,8 +286,7 @@ func (b *Buffer) drawRemaining() {
remLength := runewidth.StringWidth(remainingText)
if len(currLine) > 0 {
fmt.Printf(ClearToEOL + currLine)
fmt.Print(cursorLeftN(currLineSpace))
fmt.Print(ClearToEOL + currLine + CursorLeftN(currLineSpace))
} else {
fmt.Print(ClearToEOL)
}
@@ -301,9 +300,9 @@ func (b *Buffer) drawRemaining() {
}
if (b.DisplayPos+currLineSpace)%b.LineWidth == 0 && currLine == remainingText {
fmt.Print(cursorRightN(currLineSpace))
fmt.Print(CursorRightN(currLineSpace))
fmt.Printf("\n%s", b.Prompt.AltPrompt)
fmt.Printf(CursorUp + CursorBOL + cursorRightN(b.Width-currLineSpace))
fmt.Print(CursorUp + CursorBOL + CursorRightN(b.Width-currLineSpace))
}
// render the other lines
@@ -333,9 +332,7 @@ func (b *Buffer) drawRemaining() {
lineLength += runewidth.RuneWidth(c)
fmt.Printf("%c", c)
}
fmt.Print(ClearToEOL)
fmt.Print(cursorUpN(totalLines))
fmt.Printf(CursorBOL + cursorRightN(b.Width-currLineSpace))
fmt.Print(ClearToEOL + CursorUpN(totalLines) + CursorBOL + CursorRightN(b.Width-currLineSpace))
hasSpace := b.GetLineSpacing(b.DisplayPos / b.LineWidth)
@@ -357,8 +354,7 @@ func (b *Buffer) Remove() {
if b.DisplayPos%b.LineWidth == 0 {
// if the user backspaces over the word boundary, do this magic to clear the line
// and move to the end of the previous line
fmt.Printf(CursorBOL + ClearToEOL)
fmt.Printf(CursorUp + CursorBOL + cursorRightN(b.Width))
fmt.Print(CursorBOL + ClearToEOL + CursorUp + CursorBOL + CursorRightN(b.Width))
if b.DisplaySize()%b.LineWidth < (b.DisplaySize()-rLength)%b.LineWidth {
b.LineHasSpace.Remove(b.DisplayPos/b.LineWidth - 1)
@@ -370,24 +366,23 @@ func (b *Buffer) Remove() {
}
if rLength == 2 {
fmt.Print(CursorLeft + " " + cursorLeftN(2))
fmt.Print(CursorLeft + " " + CursorLeftN(2))
} else {
fmt.Print(" " + CursorLeft)
}
} else if (b.DisplayPos-rLength)%b.LineWidth == 0 && hasSpace {
fmt.Printf(CursorBOL + ClearToEOL)
fmt.Printf(CursorUp + CursorBOL + cursorRightN(b.Width))
fmt.Print(CursorBOL + ClearToEOL + CursorUp + CursorBOL + CursorRightN(b.Width))
if b.Pos == b.Buf.Size() {
b.LineHasSpace.Remove(b.DisplayPos/b.LineWidth - 1)
}
b.DisplayPos -= 1
} else {
fmt.Print(cursorLeftN(rLength))
fmt.Print(CursorLeftN(rLength))
for range rLength {
fmt.Print(" ")
}
fmt.Print(cursorLeftN(rLength))
fmt.Print(CursorLeftN(rLength))
}
var eraseExtraLine bool
@@ -405,9 +400,9 @@ func (b *Buffer) Remove() {
// are trailing characters which go over the line width boundary
if eraseExtraLine {
remainingLines := (b.DisplaySize() - b.DisplayPos) / b.LineWidth
fmt.Printf(cursorDownN(remainingLines+1) + CursorBOL + ClearToEOL)
fmt.Print(CursorDownN(remainingLines+1) + CursorBOL + ClearToEOL)
place := b.DisplayPos % b.LineWidth
fmt.Printf(cursorUpN(remainingLines+1) + cursorRightN(place+len(b.Prompt.prompt())))
fmt.Print(CursorUpN(remainingLines+1) + CursorRightN(place+len(b.Prompt.prompt())))
}
}
}
@@ -422,9 +417,9 @@ func (b *Buffer) Delete() {
if b.DisplaySize()%b.LineWidth == 0 {
if b.DisplayPos != b.DisplaySize() {
remainingLines := (b.DisplaySize() - b.DisplayPos) / b.LineWidth
fmt.Printf(cursorDownN(remainingLines) + CursorBOL + ClearToEOL)
fmt.Print(CursorDownN(remainingLines) + CursorBOL + ClearToEOL)
place := b.DisplayPos % b.LineWidth
fmt.Printf(cursorUpN(remainingLines) + cursorRightN(place+len(b.Prompt.prompt())))
fmt.Print(CursorUpN(remainingLines) + CursorRightN(place+len(b.Prompt.prompt())))
}
}
}
@@ -471,17 +466,17 @@ func (b *Buffer) DeleteWord() {
}
func (b *Buffer) ClearScreen() {
fmt.Printf(ClearScreen + CursorReset + b.Prompt.prompt())
fmt.Print(ClearScreen + CursorReset + b.Prompt.prompt())
if b.IsEmpty() {
ph := b.Prompt.placeholder()
fmt.Printf(ColorGrey + ph + cursorLeftN(len(ph)) + ColorDefault)
fmt.Print(ColorGrey + ph + CursorLeftN(len(ph)) + ColorDefault)
} else {
currPos := b.DisplayPos
currIndex := b.Pos
b.Pos = 0
b.DisplayPos = 0
b.drawRemaining()
fmt.Printf(CursorReset + cursorRightN(len(b.Prompt.prompt())))
fmt.Print(CursorReset + CursorRightN(len(b.Prompt.prompt())))
if currPos > 0 {
targetLine := currPos / b.LineWidth
if targetLine > 0 {
@@ -491,10 +486,10 @@ func (b *Buffer) ClearScreen() {
}
remainder := currPos % b.LineWidth
if remainder > 0 {
fmt.Print(cursorRightN(remainder))
fmt.Print(CursorRightN(remainder))
}
if currPos%b.LineWidth == 0 {
fmt.Printf(CursorBOL + b.Prompt.AltPrompt)
fmt.Print(CursorBOL + b.Prompt.AltPrompt)
}
}
b.Pos = currIndex
@@ -513,13 +508,13 @@ func (b *Buffer) Replace(r []rune) {
b.Buf.Clear()
fmt.Printf(CursorBOL + ClearToEOL)
fmt.Print(CursorBOL + ClearToEOL)
for range lineNums {
fmt.Print(CursorUp + CursorBOL + ClearToEOL)
}
fmt.Printf(CursorBOL + b.Prompt.prompt())
fmt.Print(CursorBOL + b.Prompt.prompt())
for _, c := range r {
b.Add(c)
@@ -545,19 +540,3 @@ func (b *Buffer) StringNM(n, m int) string {
}
return s
}
func cursorLeftN(n int) string {
return fmt.Sprintf(CursorLeftN, n)
}
func cursorRightN(n int) string {
return fmt.Sprintf(CursorRightN, n)
}
func cursorUpN(n int) string {
return fmt.Sprintf(CursorUpN, n)
}
func cursorDownN(n int) string {
return fmt.Sprintf(CursorDownN, n)
}

View File

@@ -4,9 +4,7 @@ import (
"errors"
)
var (
ErrInterrupt = errors.New("Interrupt")
)
var ErrInterrupt = errors.New("Interrupt")
type InterruptError struct {
Line []rune

View File

@@ -98,7 +98,7 @@ func (i *Instance) Readline() (string, error) {
showPlaceholder := !i.Pasting || i.Prompt.UseAlt
if buf.IsEmpty() && showPlaceholder {
ph := i.Prompt.placeholder()
fmt.Printf(ColorGrey + ph + fmt.Sprintf(CursorLeftN, len(ph)) + ColorDefault)
fmt.Print(ColorGrey + ph + CursorLeftN(len(ph)) + ColorDefault)
}
r, err := i.Terminal.Read()

View File

@@ -7,8 +7,10 @@ import (
"unsafe"
)
const tcgets = 0x5401
const tcsets = 0x5402
const (
tcgets = 0x5401
tcsets = 0x5402
)
func getTermios(fd uintptr) (*Termios, error) {
termios := new(Termios)

View File

@@ -1,5 +1,7 @@
package readline
import "strconv"
const (
CharNull = 0
CharLineStart = 1
@@ -41,34 +43,49 @@ const (
)
const (
CursorUp = "\033[1A"
CursorDown = "\033[1B"
CursorRight = "\033[1C"
CursorLeft = "\033[1D"
Esc = "\x1b"
CursorSave = "\033[s"
CursorRestore = "\033[u"
CursorSave = Esc + "[s"
CursorRestore = Esc + "[u"
CursorUpN = "\033[%dA"
CursorDownN = "\033[%dB"
CursorRightN = "\033[%dC"
CursorLeftN = "\033[%dD"
CursorEOL = Esc + "[E"
CursorBOL = Esc + "[1G"
CursorHide = Esc + "[?25l"
CursorShow = Esc + "[?25h"
CursorEOL = "\033[E"
CursorBOL = "\033[1G"
CursorHide = "\033[?25l"
CursorShow = "\033[?25h"
ClearToEOL = Esc + "[K"
ClearLine = Esc + "[2K"
ClearScreen = Esc + "[2J"
CursorReset = Esc + "[0;0f"
ClearToEOL = "\033[K"
ClearLine = "\033[2K"
ClearScreen = "\033[2J"
CursorReset = "\033[0;0f"
ColorGrey = Esc + "[38;5;245m"
ColorDefault = Esc + "[0m"
ColorGrey = "\033[38;5;245m"
ColorDefault = "\033[0m"
StartBracketedPaste = Esc + "[?2004h"
EndBracketedPaste = Esc + "[?2004l"
)
StartBracketedPaste = "\033[?2004h"
EndBracketedPaste = "\033[?2004l"
func CursorUpN(n int) string {
return Esc + "[" + strconv.Itoa(n) + "A"
}
func CursorDownN(n int) string {
return Esc + "[" + strconv.Itoa(n) + "B"
}
func CursorRightN(n int) string {
return Esc + "[" + strconv.Itoa(n) + "C"
}
func CursorLeftN(n int) string {
return Esc + "[" + strconv.Itoa(n) + "D"
}
var (
CursorUp = CursorUpN(1)
CursorDown = CursorDownN(1)
CursorRight = CursorRightN(1)
CursorLeft = CursorLeftN(1)
)
const (

View File

@@ -209,15 +209,15 @@ install_cuda_driver_yum() {
case $PACKAGE_MANAGER in
yum)
$SUDO $PACKAGE_MANAGER -y install yum-utils
if curl -I --silent --fail --location "https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m)/cuda-$1$2.repo" >/dev/null ; then
$SUDO $PACKAGE_MANAGER-config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m)/cuda-$1$2.repo
if curl -I --silent --fail --location "https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m | sed -e 's/aarch64/sbsa/')/cuda-$1$2.repo" >/dev/null ; then
$SUDO $PACKAGE_MANAGER-config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m | sed -e 's/aarch64/sbsa/')/cuda-$1$2.repo
else
error $CUDA_REPO_ERR_MSG
fi
;;
dnf)
if curl -I --silent --fail --location "https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m)/cuda-$1$2.repo" >/dev/null ; then
$SUDO $PACKAGE_MANAGER config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m)/cuda-$1$2.repo
if curl -I --silent --fail --location "https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m | sed -e 's/aarch64/sbsa/')/cuda-$1$2.repo" >/dev/null ; then
$SUDO $PACKAGE_MANAGER config-manager --add-repo https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m | sed -e 's/aarch64/sbsa/')/cuda-$1$2.repo
else
error $CUDA_REPO_ERR_MSG
fi
@@ -245,8 +245,8 @@ install_cuda_driver_yum() {
# ref: https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#debian
install_cuda_driver_apt() {
status 'Installing NVIDIA repository...'
if curl -I --silent --fail --location "https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m)/cuda-keyring_1.1-1_all.deb" >/dev/null ; then
curl -fsSL -o $TEMP_DIR/cuda-keyring.deb https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m)/cuda-keyring_1.1-1_all.deb
if curl -I --silent --fail --location "https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m | sed -e 's/aarch64/sbsa/')/cuda-keyring_1.1-1_all.deb" >/dev/null ; then
curl -fsSL -o $TEMP_DIR/cuda-keyring.deb https://developer.download.nvidia.com/compute/cuda/repos/$1$2/$(uname -m | sed -e 's/aarch64/sbsa/')/cuda-keyring_1.1-1_all.deb
else
error $CUDA_REPO_ERR_MSG
fi

View File

@@ -28,8 +28,10 @@ import (
const maxRetries = 6
var errMaxRetriesExceeded = errors.New("max retries exceeded")
var errPartStalled = errors.New("part stalled")
var (
errMaxRetriesExceeded = errors.New("max retries exceeded")
errPartStalled = errors.New("part stalled")
)
var blobDownloadManager sync.Map
@@ -92,7 +94,7 @@ func (p *blobDownloadPart) UnmarshalJSON(b []byte) error {
}
const (
numDownloadParts = 64
numDownloadParts = 16
minDownloadPartSize int64 = 100 * format.MegaByte
maxDownloadPartSize int64 = 1000 * format.MegaByte
)
@@ -214,6 +216,7 @@ func (b *blobDownload) run(ctx context.Context, requestURL *url.URL, opts *regis
return err
}
defer file.Close()
setSparse(file)
_ = file.Truncate(b.Total)
@@ -230,7 +233,7 @@ func (b *blobDownload) run(ctx context.Context, requestURL *url.URL, opts *regis
newOpts.CheckRedirect = func(req *http.Request, via []*http.Request) error {
if len(via) > 10 {
return errors.New("maxium redirects exceeded (10) for directURL")
return errors.New("maximum redirects exceeded (10) for directURL")
}
// if the hostname is the same, allow the redirect

View File

@@ -250,19 +250,21 @@ func GetModel(name string) (*Model, error) {
Template: template.DefaultTemplate,
}
filename, err := GetBlobsPath(manifest.Config.Digest)
if err != nil {
return nil, err
}
if manifest.Config.Digest != "" {
filename, err := GetBlobsPath(manifest.Config.Digest)
if err != nil {
return nil, err
}
configFile, err := os.Open(filename)
if err != nil {
return nil, err
}
defer configFile.Close()
configFile, err := os.Open(filename)
if err != nil {
return nil, err
}
defer configFile.Close()
if err := json.NewDecoder(configFile).Decode(&model.Config); err != nil {
return nil, err
if err := json.NewDecoder(configFile).Decode(&model.Config); err != nil {
return nil, err
}
}
for _, layer := range manifest.Layers {
@@ -371,7 +373,7 @@ func CreateModel(ctx context.Context, name model.Name, modelFileDir, quantizatio
var messages []*api.Message
parameters := make(map[string]any)
var layers []*Layer
var layers []Layer
for _, c := range modelfile.Commands {
mediatype := fmt.Sprintf("application/vnd.ollama.image.%s", c.Name)
@@ -497,7 +499,7 @@ func CreateModel(ctx context.Context, name model.Name, modelFileDir, quantizatio
if c.Name != "license" {
// replace
layers = slices.DeleteFunc(layers, func(layer *Layer) bool {
layers = slices.DeleteFunc(layers, func(layer Layer) bool {
if layer.MediaType != mediatype {
return false
}
@@ -543,7 +545,7 @@ func CreateModel(ctx context.Context, name model.Name, modelFileDir, quantizatio
}
var err2 error
layers = slices.DeleteFunc(layers, func(layer *Layer) bool {
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
@@ -623,12 +625,12 @@ func CreateModel(ctx context.Context, name model.Name, modelFileDir, quantizatio
return err
}
layer, err := NewLayer(&b, "application/vnd.docker.container.image.v1+json")
configLayer, err := NewLayer(&b, "application/vnd.docker.container.image.v1+json")
if err != nil {
return err
}
for _, layer := range append(layers, layer) {
for _, layer := range append(layers, configLayer) {
if layer.status != "" {
fn(api.ProgressResponse{Status: layer.status})
}
@@ -637,7 +639,7 @@ func CreateModel(ctx context.Context, name model.Name, modelFileDir, quantizatio
old, _ := ParseNamedManifest(name)
fn(api.ProgressResponse{Status: "writing manifest"})
if err := WriteManifest(name, layer, layers); err != nil {
if err := WriteManifest(name, configLayer, layers); err != nil {
return err
}
@@ -714,8 +716,7 @@ func deleteUnusedLayers(skipModelPath *ModelPath, deleteMap map[string]struct{})
// save (i.e. delete from the deleteMap) any files used in other manifests
manifest, _, err := GetManifest(fmp)
if err != nil {
//nolint:nilerr
return nil
return err
}
for _, layer := range manifest.Layers {
@@ -782,7 +783,8 @@ func PruneLayers() error {
err = deleteUnusedLayers(nil, deleteMap)
if err != nil {
return err
slog.Error(fmt.Sprintf("couldn't remove unused layers: %v", err))
return nil
}
slog.Info(fmt.Sprintf("total unused blobs removed: %d", len(deleteMap)))
@@ -828,7 +830,7 @@ func PushModel(ctx context.Context, name string, regOpts *registryOptions, fn fu
fn(api.ProgressResponse{Status: "retrieving manifest"})
if mp.ProtocolScheme == "http" && !regOpts.Insecure {
return fmt.Errorf("insecure protocol http")
return errors.New("insecure protocol http")
}
manifest, _, err := GetManifest(mp)
@@ -837,9 +839,11 @@ func PushModel(ctx context.Context, name string, regOpts *registryOptions, fn fu
return err
}
var layers []*Layer
var layers []Layer
layers = append(layers, manifest.Layers...)
layers = append(layers, manifest.Config)
if manifest.Config.Digest != "" {
layers = append(layers, manifest.Config)
}
for _, layer := range layers {
if err := uploadBlob(ctx, mp, layer, regOpts, fn); err != nil {
@@ -890,12 +894,14 @@ func PullModel(ctx context.Context, name string, regOpts *registryOptions, fn fu
for _, l := range manifest.Layers {
deleteMap[l.Digest] = struct{}{}
}
deleteMap[manifest.Config.Digest] = struct{}{}
if manifest.Config.Digest != "" {
deleteMap[manifest.Config.Digest] = struct{}{}
}
}
}
if mp.ProtocolScheme == "http" && !regOpts.Insecure {
return fmt.Errorf("insecure protocol http")
return errors.New("insecure protocol http")
}
fn(api.ProgressResponse{Status: "pulling manifest"})
@@ -905,9 +911,11 @@ func PullModel(ctx context.Context, name string, regOpts *registryOptions, fn fu
return fmt.Errorf("pull model manifest: %s", err)
}
var layers []*Layer
var layers []Layer
layers = append(layers, manifest.Layers...)
layers = append(layers, manifest.Config)
if manifest.Config.Digest != "" {
layers = append(layers, manifest.Config)
}
skipVerify := make(map[string]bool)
for _, layer := range layers {
@@ -971,7 +979,8 @@ func PullModel(ctx context.Context, name string, regOpts *registryOptions, fn fu
fn(api.ProgressResponse{Status: "removing any unused layers"})
err = deleteUnusedLayers(nil, deleteMap)
if err != nil {
return err
slog.Error(fmt.Sprintf("couldn't remove unused layers: %v", err))
fn(api.ProgressResponse{Status: fmt.Sprintf("couldn't remove unused layers: %v", err)})
}
}
@@ -1010,7 +1019,7 @@ func GetSHA256Digest(r io.Reader) (string, int64) {
return fmt.Sprintf("sha256:%x", h.Sum(nil)), n
}
var errUnauthorized = fmt.Errorf("unauthorized: access denied")
var errUnauthorized = errors.New("unauthorized: access denied")
// getTokenSubject returns the subject of a JWT token, it does not validate the token
func getTokenSubject(token string) string {

View File

@@ -2,6 +2,7 @@ package server
import (
"crypto/sha256"
"errors"
"fmt"
"io"
"os"
@@ -15,15 +16,15 @@ type Layer struct {
status string
}
func NewLayer(r io.Reader, mediatype string) (*Layer, error) {
func NewLayer(r io.Reader, mediatype string) (Layer, error) {
blobs, err := GetBlobsPath("")
if err != nil {
return nil, err
return Layer{}, err
}
temp, err := os.CreateTemp(blobs, "sha256-")
if err != nil {
return nil, err
return Layer{}, err
}
defer temp.Close()
defer os.Remove(temp.Name())
@@ -31,28 +32,28 @@ func NewLayer(r io.Reader, mediatype string) (*Layer, error) {
sha256sum := sha256.New()
n, err := io.Copy(io.MultiWriter(temp, sha256sum), r)
if err != nil {
return nil, err
return Layer{}, err
}
if err := temp.Close(); err != nil {
return nil, err
return Layer{}, err
}
digest := fmt.Sprintf("sha256:%x", sha256sum.Sum(nil))
blob, err := GetBlobsPath(digest)
if err != nil {
return nil, err
return Layer{}, 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{}, err
}
}
return &Layer{
return Layer{
MediaType: mediatype,
Digest: digest,
Size: n,
@@ -60,18 +61,22 @@ func NewLayer(r io.Reader, mediatype string) (*Layer, error) {
}, nil
}
func NewLayerFromLayer(digest, mediatype, from string) (*Layer, error) {
func NewLayerFromLayer(digest, mediatype, from string) (Layer, error) {
if digest == "" {
return Layer{}, errors.New("creating new layer from layer with empty digest")
}
blob, err := GetBlobsPath(digest)
if err != nil {
return nil, err
return Layer{}, err
}
fi, err := os.Stat(blob)
if err != nil {
return nil, err
return Layer{}, err
}
return &Layer{
return Layer{
MediaType: mediatype,
Digest: digest,
Size: fi.Size(),
@@ -81,6 +86,10 @@ func NewLayerFromLayer(digest, mediatype, from string) (*Layer, error) {
}
func (l *Layer) Open() (io.ReadSeekCloser, error) {
if l.Digest == "" {
return nil, errors.New("opening layer with empty digest")
}
blob, err := GetBlobsPath(l.Digest)
if err != nil {
return nil, err
@@ -90,6 +99,10 @@ func (l *Layer) Open() (io.ReadSeekCloser, error) {
}
func (l *Layer) Remove() error {
if l.Digest == "" {
return nil
}
ms, err := Manifests()
if err != nil {
return err

View File

@@ -2,9 +2,9 @@ package server
import (
"crypto/sha256"
"encoding/hex"
"encoding/json"
"errors"
"fmt"
"io"
"log/slog"
"os"
@@ -14,10 +14,10 @@ import (
)
type Manifest struct {
SchemaVersion int `json:"schemaVersion"`
MediaType string `json:"mediaType"`
Config *Layer `json:"config"`
Layers []*Layer `json:"layers"`
SchemaVersion int `json:"schemaVersion"`
MediaType string `json:"mediaType"`
Config Layer `json:"config"`
Layers []Layer `json:"layers"`
filepath string
fi os.FileInfo
@@ -47,10 +47,12 @@ func (m *Manifest) Remove() error {
func (m *Manifest) RemoveLayers() error {
for _, layer := range append(m.Layers, m.Config) {
if err := layer.Remove(); errors.Is(err, os.ErrNotExist) {
slog.Debug("layer does not exist", "digest", layer.Digest)
} else if err != nil {
return err
if layer.Digest != "" {
if err := layer.Remove(); errors.Is(err, os.ErrNotExist) {
slog.Debug("layer does not exist", "digest", layer.Digest)
} else if err != nil {
return err
}
}
}
@@ -88,12 +90,12 @@ func ParseNamedManifest(n model.Name) (*Manifest, error) {
m.filepath = p
m.fi = fi
m.digest = fmt.Sprintf("%x", sha256sum.Sum(nil))
m.digest = hex.EncodeToString(sha256sum.Sum(nil))
return &m, nil
}
func WriteManifest(name model.Name, config *Layer, layers []*Layer) error {
func WriteManifest(name model.Name, config Layer, layers []Layer) error {
manifests, err := GetManifestPath()
if err != nil {
return err

View File

@@ -14,7 +14,7 @@ func createManifest(t *testing.T, path, name string) {
t.Helper()
p := filepath.Join(path, "manifests", name)
if err := os.MkdirAll(filepath.Dir(p), 0755); err != nil {
if err := os.MkdirAll(filepath.Dir(p), 0o755); err != nil {
t.Fatal(err)
}

View File

@@ -26,7 +26,7 @@ import (
var intermediateBlobs map[string]string = make(map[string]string)
type layerGGML struct {
*Layer
Layer
*llm.GGML
}
@@ -176,9 +176,20 @@ func parseFromFile(ctx context.Context, file *os.File, digest string, fn func(ap
mediatype = "application/vnd.ollama.image.projector"
}
layer, err := NewLayer(io.NewSectionReader(file, offset, n), mediatype)
if err != nil {
return nil, err
var layer Layer
if digest != "" && n == stat.Size() && offset == 0 {
layer, err = NewLayerFromLayer(digest, mediatype, file.Name())
if err != nil {
slog.Debug("could not create new layer from layer", "error", err)
}
}
// Fallback to creating layer from file copy (either NewLayerFromLayer failed, or digest empty/n != stat.Size())
if layer.Digest == "" {
layer, err = NewLayer(io.NewSectionReader(file, offset, n), mediatype)
if err != nil {
return nil, err
}
}
layers = append(layers, &layerGGML{layer, ggml})

View File

@@ -2,14 +2,18 @@ package server
import (
"bytes"
"context"
"encoding/json"
"fmt"
"io"
"os"
"path/filepath"
"testing"
"github.com/google/go-cmp/cmp"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/llm"
"github.com/ollama/ollama/template"
)
@@ -132,3 +136,82 @@ The temperature in San Francisco, CA is 70°F and in Toronto, Canada is 20°C.`,
})
}
}
func TestParseFromFileFromLayer(t *testing.T) {
tempModels := t.TempDir()
file, err := os.CreateTemp(tempModels, "")
if err != nil {
t.Fatalf("failed to open file: %v", err)
}
defer file.Close()
if err := llm.WriteGGUF(file, llm.KV{"general.architecture": "gemma"}, []llm.Tensor{}); err != nil {
t.Fatalf("failed to write gguf: %v", err)
}
if _, err := file.Seek(0, io.SeekStart); err != nil {
t.Fatalf("failed to seek to start: %v", err)
}
layers, err := parseFromFile(context.Background(), file, "", func(api.ProgressResponse) {})
if err != nil {
t.Fatalf("failed to parse from file: %v", err)
}
if len(layers) != 1 {
t.Fatalf("got %d != want 1", len(layers))
}
if _, err := file.Seek(0, io.SeekStart); err != nil {
t.Fatalf("failed to seek to start: %v", err)
}
layers2, err := parseFromFile(context.Background(), file, layers[0].Digest, func(api.ProgressResponse) {})
if err != nil {
t.Fatalf("failed to parse from file: %v", err)
}
if len(layers2) != 1 {
t.Fatalf("got %d != want 1", len(layers2))
}
if layers[0].Digest != layers2[0].Digest {
t.Fatalf("got %s != want %s", layers[0].Digest, layers2[0].Digest)
}
if layers[0].Size != layers2[0].Size {
t.Fatalf("got %d != want %d", layers[0].Size, layers2[0].Size)
}
if layers[0].MediaType != layers2[0].MediaType {
t.Fatalf("got %v != want %v", layers[0].MediaType, layers2[0].MediaType)
}
}
func TestParseLayerFromCopy(t *testing.T) {
tempModels := t.TempDir()
file2, err := os.CreateTemp(tempModels, "")
if err != nil {
t.Fatalf("failed to open file: %v", err)
}
defer file2.Close()
for range 5 {
if err := llm.WriteGGUF(file2, llm.KV{"general.architecture": "gemma"}, []llm.Tensor{}); err != nil {
t.Fatalf("failed to write gguf: %v", err)
}
}
if _, err := file2.Seek(0, io.SeekStart); err != nil {
t.Fatalf("failed to seek to start: %v", err)
}
layers, err := parseFromFile(context.Background(), file2, "", func(api.ProgressResponse) {})
if err != nil {
t.Fatalf("failed to parse from file: %v", err)
}
if len(layers) != 5 {
t.Fatalf("got %d != want 5", len(layers))
}
}

View File

@@ -6,6 +6,7 @@ import (
"testing"
"github.com/google/go-cmp/cmp"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/template"
)

View File

@@ -23,6 +23,7 @@ import (
"github.com/gin-contrib/cors"
"github.com/gin-gonic/gin"
"golang.org/x/sync/errgroup"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/envconfig"
@@ -55,8 +56,10 @@ func init() {
gin.SetMode(mode)
}
var errRequired = errors.New("is required")
var errBadTemplate = errors.New("template error")
var (
errRequired = errors.New("is required")
errBadTemplate = errors.New("template error")
)
func modelOptions(model *Model, requestOpts map[string]interface{}) (api.Options, error) {
opts := api.DefaultOptions()
@@ -321,13 +324,10 @@ func (s *Server) EmbedHandler(c *gin.Context) {
input = append(input, v.(string))
}
default:
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "invalid input type"})
return
}
if len(input) == 0 {
c.JSON(http.StatusOK, api.EmbedResponse{Model: req.Model, Embeddings: [][]float32{}})
return
if req.Input != nil {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": "invalid input type"})
return
}
}
r, m, opts, err := s.scheduleRunner(c.Request.Context(), req.Model, []Capability{}, req.Options, req.KeepAlive)
@@ -338,12 +338,18 @@ func (s *Server) EmbedHandler(c *gin.Context) {
checkpointLoaded := time.Now()
if len(input) == 0 {
c.JSON(http.StatusOK, api.EmbedResponse{Model: req.Model, Embeddings: [][]float32{}})
return
}
kvData, err := getKVData(m.ModelPath, false)
if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
var count int
for i, s := range input {
tokens, err := r.Tokenize(c.Request.Context(), s)
if err != nil {
@@ -366,26 +372,36 @@ func (s *Server) EmbedHandler(c *gin.Context) {
}
}
count += len(tokens)
input[i] = s
}
embeddings, err := r.Embed(c.Request.Context(), input)
if err != nil {
slog.Error("embedding generation failed", "error", err)
c.JSON(http.StatusInternalServerError, gin.H{"error": "failed to generate embedding"})
return
var g errgroup.Group
embeddings := make([][]float32, len(input))
for i, text := range input {
g.Go(func() error {
embedding, err := r.Embedding(c.Request.Context(), text)
if err != nil {
return err
}
embeddings[i] = normalize(embedding)
return nil
})
}
for i, e := range embeddings.Embedding {
embeddings.Embedding[i] = normalize(e)
if err := g.Wait(); err != nil {
slog.Error("embedding generation failed", "error", err)
c.JSON(http.StatusInternalServerError, gin.H{"error": fmt.Errorf("failed to generate embeddings: %v", err)})
return
}
resp := api.EmbedResponse{
Model: req.Model,
Embeddings: embeddings.Embedding,
Embeddings: embeddings,
TotalDuration: time.Since(checkpointStart),
LoadDuration: checkpointLoaded.Sub(checkpointStart),
PromptEvalCount: embeddings.PromptEvalCount,
PromptEvalCount: count,
}
c.JSON(http.StatusOK, resp)
}
@@ -429,22 +445,20 @@ func (s *Server) EmbeddingsHandler(c *gin.Context) {
return
}
embeddings, err := r.Embed(c.Request.Context(), []string{req.Prompt})
embedding, err := r.Embedding(c.Request.Context(), req.Prompt)
if err != nil {
slog.Info(fmt.Sprintf("embedding generation failed: %v", err))
c.JSON(http.StatusInternalServerError, gin.H{"error": "failed to generate embedding"})
return
}
embedding := make([]float64, len(embeddings.Embedding[0]))
for i, v := range embeddings.Embedding[0] {
embedding[i] = float64(v)
var e []float64
for _, v := range embedding {
e = append(e, float64(v))
}
resp := api.EmbeddingResponse{
Embedding: embedding,
Embedding: e,
}
c.JSON(http.StatusOK, resp)
}
@@ -556,7 +570,7 @@ func checkNameExists(name model.Name) error {
for n := range names {
if strings.EqualFold(n.Filepath(), name.Filepath()) && n != name {
return fmt.Errorf("a model with that name already exists")
return errors.New("a model with that name already exists")
}
}
@@ -729,7 +743,7 @@ func GetModelInfo(req api.ShowRequest) (*api.ShowResponse, error) {
n := model.ParseName(req.Model)
if !n.IsValid() {
return nil, fmt.Errorf("invalid model name")
return nil, errors.New("invalid model name")
}
manifest, err := ParseNamedManifest(n)
@@ -824,17 +838,20 @@ func (s *Server) ListModelsHandler(c *gin.Context) {
models := []api.ListModelResponse{}
for n, m := range ms {
f, err := m.Config.Open()
if err != nil {
slog.Warn("bad manifest filepath", "name", n, "error", err)
continue
}
defer f.Close()
var cf ConfigV2
if err := json.NewDecoder(f).Decode(&cf); err != nil {
slog.Warn("bad manifest config", "name", n, "error", err)
continue
if m.Config.Digest != "" {
f, err := m.Config.Open()
if err != nil {
slog.Warn("bad manifest filepath", "name", n, "error", err)
continue
}
defer f.Close()
if err := json.NewDecoder(f).Decode(&cf); err != nil {
slog.Warn("bad manifest config", "name", n, "error", err)
continue
}
}
// tag should never be masked
@@ -993,7 +1010,7 @@ func allowedHost(host string) bool {
return true
}
var tlds = []string{
tlds := []string{
"localhost",
"local",
"internal",

View File

@@ -2,6 +2,7 @@ package server
import (
"bytes"
"cmp"
"encoding/json"
"fmt"
"io"
@@ -13,6 +14,7 @@ import (
"testing"
"github.com/gin-gonic/gin"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/llm"
)
@@ -52,6 +54,8 @@ func (t *responseRecorder) CloseNotify() <-chan bool {
func createRequest(t *testing.T, fn func(*gin.Context), body any) *httptest.ResponseRecorder {
t.Helper()
// if OLLAMA_MODELS is not set, set it to the temp directory
t.Setenv("OLLAMA_MODELS", cmp.Or(os.Getenv("OLLAMA_MODELS"), t.TempDir()))
w := NewRecorder()
c, _ := gin.CreateTestContext(w)
@@ -489,7 +493,7 @@ func TestCreateTemplateSystem(t *testing.T) {
Modelfile: fmt.Sprintf("FROM %s\nTEMPLATE {{ .Prompt", createBinFile(t, nil, nil)),
Stream: &stream,
})
if w.Code != http.StatusBadRequest {
t.Fatalf("expected status code 400, actual %d", w.Code)
}
@@ -501,7 +505,7 @@ func TestCreateTemplateSystem(t *testing.T) {
Modelfile: fmt.Sprintf("FROM %s\nTEMPLATE {{ if .Prompt }}", createBinFile(t, nil, nil)),
Stream: &stream,
})
if w.Code != http.StatusBadRequest {
t.Fatalf("expected status code 400, actual %d", w.Code)
}
@@ -513,7 +517,7 @@ func TestCreateTemplateSystem(t *testing.T) {
Modelfile: fmt.Sprintf("FROM %s\nTEMPLATE {{ Prompt }}", createBinFile(t, nil, nil)),
Stream: &stream,
})
if w.Code != http.StatusBadRequest {
t.Fatalf("expected status code 400, actual %d", w.Code)
}

View File

@@ -9,6 +9,7 @@ import (
"testing"
"github.com/gin-gonic/gin"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/types/model"
)
@@ -97,7 +98,7 @@ func TestDeleteDuplicateLayers(t *testing.T) {
}
// create a manifest with duplicate layers
if err := WriteManifest(n, config, []*Layer{config}); err != nil {
if err := WriteManifest(n, config, []Layer{config}); err != nil {
t.Fatal(err)
}

View File

@@ -8,6 +8,7 @@ import (
"testing"
"github.com/gin-gonic/gin"
"github.com/ollama/ollama/api"
)

View File

@@ -272,77 +272,6 @@ func Test_Routes(t *testing.T) {
assert.Equal(t, "library", retrieveResp.OwnedBy)
},
},
{
Name: "Embed Handler Empty Input",
Method: http.MethodPost,
Path: "/api/embed",
Setup: func(t *testing.T, req *http.Request) {
embedReq := api.EmbedRequest{
Model: "t-bone",
Input: "",
}
jsonData, err := json.Marshal(embedReq)
require.NoError(t, err)
req.Body = io.NopCloser(bytes.NewReader(jsonData))
},
Expected: func(t *testing.T, resp *http.Response) {
contentType := resp.Header.Get("Content-Type")
if contentType != "application/json; charset=utf-8" {
t.Fatalf("expected content type application/json; charset=utf-8, got %s", contentType)
}
body, err := io.ReadAll(resp.Body)
if err != nil {
t.Fatal(err)
}
var embedResp api.EmbedResponse
err = json.Unmarshal(body, &embedResp)
if err != nil {
t.Fatal(err)
}
if embedResp.Model != "t-bone" {
t.Fatalf("expected model t-bone, got %s", embedResp.Model)
}
if embedResp.Embeddings == nil {
t.Fatalf("expected embeddings to not be nil, got %v", embedResp.Embeddings)
}
if len(embedResp.Embeddings) != 0 {
t.Fatalf("expected embeddings to be empty, got %v", embedResp.Embeddings)
}
},
},
{
Name: "Embed Handler Invalid Input",
Method: http.MethodPost,
Path: "/api/embed",
Setup: func(t *testing.T, req *http.Request) {
embedReq := api.EmbedRequest{
Model: "t-bone",
Input: 2,
}
jsonData, err := json.Marshal(embedReq)
require.NoError(t, err)
req.Body = io.NopCloser(bytes.NewReader(jsonData))
},
Expected: func(t *testing.T, resp *http.Response) {
contentType := resp.Header.Get("Content-Type")
if contentType != "application/json; charset=utf-8" {
t.Fatalf("expected content type application/json; charset=utf-8, got %s", contentType)
}
_, err := io.ReadAll(resp.Body)
if err != nil {
t.Fatal(err)
}
if resp.StatusCode != http.StatusBadRequest {
t.Fatalf("expected status code 400, got %d", resp.StatusCode)
}
},
},
}
t.Setenv("OLLAMA_MODELS", t.TempDir())

View File

@@ -58,7 +58,7 @@ var defaultModelsPerGPU = 3
// we'll back off down to 1 to try to get it to fit
var defaultParallel = 4
var ErrMaxQueue = fmt.Errorf("server busy, please try again. maximum pending requests exceeded")
var ErrMaxQueue = errors.New("server busy, please try again. maximum pending requests exceeded")
func InitScheduler(ctx context.Context) *Scheduler {
maxQueue := envconfig.MaxQueue()
@@ -418,7 +418,7 @@ func (s *Scheduler) load(req *LlmRequest, ggml *llm.GGML, gpus gpu.GpuInfoList,
// some older models are not compatible with newer versions of llama.cpp
// show a generalized compatibility error until there is a better way to
// check for model compatibility
if errors.Is(llm.ErrUnsupportedFormat, err) || strings.Contains(err.Error(), "failed to load model") {
if errors.Is(err, llm.ErrUnsupportedFormat) || strings.Contains(err.Error(), "failed to load model") {
err = fmt.Errorf("%v: this model may be incompatible with your version of Ollama. If you previously pulled this model, try updating it by running `ollama pull %s`", err, req.model.ShortName)
}
slog.Info("NewLlamaServer failed", "model", req.model.ModelPath, "error", err)

View File

@@ -3,23 +3,25 @@ package server
import (
"bytes"
"context"
"fmt"
"errors"
"log/slog"
"os"
"testing"
"time"
"github.com/stretchr/testify/require"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/app/lifecycle"
"github.com/ollama/ollama/format"
"github.com/ollama/ollama/gpu"
"github.com/ollama/ollama/llm"
"github.com/stretchr/testify/require"
)
func init() {
func TestMain(m *testing.M) {
os.Setenv("OLLAMA_DEBUG", "1")
lifecycle.InitLogging()
os.Exit(m.Run())
}
func TestInitScheduler(t *testing.T) {
@@ -46,7 +48,7 @@ func TestLoad(t *testing.T) {
}
// Fail to load model first
s.newServerFn = func(gpus gpu.GpuInfoList, model string, ggml *llm.GGML, adapters []string, projectors []string, opts api.Options, numParallel int) (llm.LlamaServer, error) {
return nil, fmt.Errorf("something failed to load model blah")
return nil, errors.New("something failed to load model blah")
}
gpus := gpu.GpuInfoList{}
s.load(req, ggml, gpus, 0)
@@ -75,7 +77,7 @@ func TestLoad(t *testing.T) {
}
req.model.ModelPath = "dummy_model_path"
server.waitResp = fmt.Errorf("wait failure")
server.waitResp = errors.New("wait failure")
s.load(req, ggml, gpus, 0)
select {
case err := <-req.errCh:
@@ -600,7 +602,7 @@ func TestNeedsReload(t *testing.T) {
resp = runner.needsReload(ctx, req)
require.True(t, resp)
req.opts.NumBatch = runner.Options.NumBatch
llm.pingResp = fmt.Errorf("foo")
llm.pingResp = errors.New("foo")
resp = runner.needsReload(ctx, req)
require.True(t, resp)
llm.pingResp = nil
@@ -706,8 +708,8 @@ type mockLlm struct {
pingResp error
waitResp error
completionResp error
embedResp *llm.EmbedResponse
embedRespErr error
embeddingResp []float32
embeddingRespErr error
tokenizeResp []int
tokenizeRespErr error
detokenizeResp string
@@ -724,15 +726,19 @@ func (s *mockLlm) WaitUntilRunning(ctx context.Context) error { return s.waitRes
func (s *mockLlm) Completion(ctx context.Context, req llm.CompletionRequest, fn func(llm.CompletionResponse)) error {
return s.completionResp
}
func (s *mockLlm) Embed(ctx context.Context, input []string) (*llm.EmbedResponse, error) {
return s.embedResp, s.embedRespErr
func (s *mockLlm) Embedding(ctx context.Context, input string) ([]float32, error) {
return s.embeddingResp, s.embeddingRespErr
}
func (s *mockLlm) Tokenize(ctx context.Context, content string) ([]int, error) {
return s.tokenizeResp, s.tokenizeRespErr
}
func (s *mockLlm) Detokenize(ctx context.Context, tokens []int) (string, error) {
return s.detokenizeResp, s.detonekizeRespErr
}
func (s *mockLlm) Close() error {
s.closeCalled = true
return s.closeResp

8
server/sparse_common.go Normal file
View File

@@ -0,0 +1,8 @@
//go:build !windows
package server
import "os"
func setSparse(*os.File) {
}

17
server/sparse_windows.go Normal file
View File

@@ -0,0 +1,17 @@
package server
import (
"os"
"golang.org/x/sys/windows"
)
func setSparse(file *os.File) {
// exFat (and other FS types) don't support sparse files, so ignore errors
windows.DeviceIoControl( //nolint:errcheck
windows.Handle(file.Fd()), windows.FSCTL_SET_SPARSE,
nil, 0,
nil, 0,
nil, nil,
)
}

View File

@@ -12,19 +12,21 @@ import (
"net/http"
"net/url"
"os"
"strconv"
"sync"
"sync/atomic"
"time"
"golang.org/x/sync/errgroup"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/format"
"golang.org/x/sync/errgroup"
)
var blobUploadManager sync.Map
type blobUpload struct {
*Layer
Layer
Total int64
Completed atomic.Int64
@@ -212,7 +214,7 @@ func (b *blobUpload) Run(ctx context.Context, opts *registryOptions) {
func (b *blobUpload) uploadPart(ctx context.Context, method string, requestURL *url.URL, part *blobUploadPart, opts *registryOptions) error {
headers := make(http.Header)
headers.Set("Content-Type", "application/octet-stream")
headers.Set("Content-Length", fmt.Sprintf("%d", part.Size))
headers.Set("Content-Length", strconv.FormatInt(part.Size, 10))
if method == http.MethodPatch {
headers.Set("X-Redirect-Uploads", "1")
@@ -360,7 +362,7 @@ func (p *progressWriter) Rollback() {
p.written = 0
}
func uploadBlob(ctx context.Context, mp ModelPath, layer *Layer, opts *registryOptions, fn func(api.ProgressResponse)) error {
func uploadBlob(ctx context.Context, mp ModelPath, layer Layer, opts *registryOptions, fn func(api.ProgressResponse)) error {
requestURL := mp.BaseURL()
requestURL = requestURL.JoinPath("v2", mp.GetNamespaceRepository(), "blobs", layer.Digest)

View File

@@ -15,8 +15,9 @@ import (
"text/template/parse"
"github.com/agnivade/levenshtein"
"github.com/ollama/ollama/api"
"golang.org/x/exp/maps"
"github.com/ollama/ollama/api"
)
//go:embed index.json

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