added patch

llm/llm.go

@@ -65,7 +65,7 @@ func Quantize(infile, outfile string, ftype fileType, fn func(resp api.ProgressR
 				fmt.Println("Progress: ", *((*C.float)(store)))
 			case <-done:
                 fn(api.ProgressResponse{
-                    Status:  "quantizing model",
+                    Status:   fmt.Sprintf("quantizing model %d/%d", tensorCount, tensorCount),
                     Quantize: "quant",
                 })
 				return

llm/quantize.diff

@@ -1,76 +0,0 @@
-commit c260daa84166c568cd998410dc9ba5628c530bee
-Author: Josh Yan <jyan00017@gmail.com>
-Date:   Tue Jul 9 15:34:24 2024 -0700
-
-    quantize progress
-
-diff --git a/llama.cpp b/llama.cpp
-index 61948751..c06d31b6 100644
---- a/llama.cpp
-+++ b/llama.cpp
-@@ -15370,7 +15370,7 @@ static size_t llama_tensor_quantize_internal(enum ggml_type new_type, const floa
-     return new_size;
- }
- 
--static void llama_model_quantize_internal(const std::string & fname_inp, const std::string & fname_out, const llama_model_quantize_params * params) {
-+static void llama_model_quantize_internal(const std::string & fname_inp, const std::string & fname_out, llama_model_quantize_params * params) {
-     ggml_type default_type;
-     llama_ftype ftype = params->ftype;
- 
-@@ -15586,6 +15586,15 @@ static void llama_model_quantize_internal(const std::string & fname_inp, const s
-     const auto tn = LLM_TN(model.arch);
-     new_ofstream(0);
-     for (int i = 0; i < ml.n_tensors; ++i) {
-+
-+        if (params->quantize_callback){
-+            if (!params->quantize_callback(i/ml.n_tensors, params->quantize_callback_data)) {
-+                close_ofstream();
-+                params->quantize_callback_data = nullptr;
-+                return;
-+            }
-+        }
-+
-         auto weight = ml.get_weight(i);
-         struct ggml_tensor * tensor = weight->tensor;
-         if (weight->idx != cur_split && params->keep_split) {
-@@ -16119,6 +16128,8 @@ struct llama_model_quantize_params llama_model_quantize_default_params() {
-         /*.keep_split                  =*/ false,
-         /*.imatrix                     =*/ nullptr,
-         /*.kv_overrides                =*/ nullptr,
-+        /*.quantize_callback           =*/ nullptr,
-+        /*.quantize_callback_data      =*/ nullptr,
-     };
- 
-     return result;
-@@ -16784,7 +16795,7 @@ struct ggml_tensor * llama_get_model_tensor(struct llama_model * model, const ch
- uint32_t llama_model_quantize(
-         const char * fname_inp,
-         const char * fname_out,
--        const llama_model_quantize_params * params) {
-+        llama_model_quantize_params * params) {
-     try {
-         llama_model_quantize_internal(fname_inp, fname_out, params);
-         return 0;
-diff --git a/llama.h b/llama.h
-index da310ffa..847c40d4 100644
---- a/llama.h
-+++ b/llama.h
-@@ -196,6 +196,8 @@ extern "C" {
- 
-     typedef bool (*llama_progress_callback)(float progress, void * user_data);
- 
-+    typedef bool (*llama_quantize_callback)(int progress, void * user_data);
-+
-     // Input data for llama_decode
-     // A llama_batch object can contain input about one or many sequences
-     // The provided arrays (i.e. token, embd, pos, etc.) must have size of n_tokens
-@@ -337,6 +339,9 @@ extern "C" {
-         bool keep_split;                     // quantize to the same number of shards
-         void * imatrix;                      // pointer to importance matrix data
-         void * kv_overrides;                 // pointer to vector containing overrides
-+
-+        llama_quantize_callback quantize_callback;
-+        void * quantize_callback_data;
-     } llama_model_quantize_params;
- 
-     // grammar types