Update GGML to b6646 (#12245)

Notable EOLs with this change:
- MacOS v12 and v13 are no longer supported (v14+ required)
- AMD gfx900 and gfx906 are no longer supported

llama/llama.cpp/src/llama-model.h

@@ -7,6 +7,7 @@
 #include "llama-memory.h"
 #include "llama-vocab.h"
 
+#include <map>
 #include <memory>
 #include <string>
 #include <unordered_map>
@@ -28,6 +29,7 @@ enum llm_type {
     LLM_TYPE_80M,
     LLM_TYPE_109M,
     LLM_TYPE_137M,
+    LLM_TYPE_140M,
     LLM_TYPE_160M,
     LLM_TYPE_190M,
     LLM_TYPE_220M,
@@ -36,12 +38,15 @@ enum llm_type {
     LLM_TYPE_270M,
     LLM_TYPE_335M,
     LLM_TYPE_350M,
+    LLM_TYPE_360M,
     LLM_TYPE_410M,
     LLM_TYPE_450M,
     LLM_TYPE_475M,
+    LLM_TYPE_558M,
     LLM_TYPE_700M,
     LLM_TYPE_770M,
     LLM_TYPE_780M,
+    LLM_TYPE_950M,
     LLM_TYPE_0_3B,
     LLM_TYPE_0_5B,
     LLM_TYPE_0_6B,
@@ -54,6 +59,7 @@ enum llm_type {
     LLM_TYPE_1_7B,
     LLM_TYPE_1_8B,
     LLM_TYPE_2B,
+    LLM_TYPE_2_6B,
     LLM_TYPE_2_8B,
     LLM_TYPE_2_9B,
     LLM_TYPE_3B,
@@ -76,9 +82,11 @@ enum llm_type {
     LLM_TYPE_32B,
     LLM_TYPE_34B,
     LLM_TYPE_35B,
+    LLM_TYPE_36B,
     LLM_TYPE_40B,
     LLM_TYPE_65B,
     LLM_TYPE_70B,
+    LLM_TYPE_120B,
     LLM_TYPE_142B,
     LLM_TYPE_236B,
     LLM_TYPE_290B,
@@ -268,6 +276,11 @@ struct llama_layer {
     struct ggml_tensor * ffn_down_shexp     = nullptr;
     struct ggml_tensor * ffn_up_shexp       = nullptr;
 
+    // ff adjugate experts (chexps)
+    struct ggml_tensor * ffn_gate_chexps     = nullptr;
+    struct ggml_tensor * ffn_down_chexps     = nullptr;
+    struct ggml_tensor * ffn_up_chexps       = nullptr;
+
     // ff bias
     struct ggml_tensor * ffn_gate_b = nullptr;
     struct ggml_tensor * ffn_down_b = nullptr; // b2
@@ -449,10 +462,12 @@ struct llama_model {
 
     std::string desc() const;
 
-    size_t size() const;
+    size_t size() const; // file size
     size_t n_tensors() const;
     size_t n_devices() const;
 
+    std::map<ggml_backend_buffer_type_t, size_t> memory_breakdown() const;
+
     // total number of parameters in the model
     uint64_t n_elements() const;