lint

.gitattributes

@@ -1,3 +1,4 @@
 llm/ext_server/* linguist-vendored
+llm/*.h linguist-vendored
 * text=auto
 *.go text eol=lf

cmd/cmd.go

@@ -124,6 +124,7 @@ func CreateHandler(cmd *cobra.Command, args []string) error {
 	}
 
 	bars := make(map[string]*progress.Bar)
+	var quantizeSpin *progress.Spinner
 	fn := func(resp api.ProgressResponse) error {
 		if resp.Digest != "" {
 			spinner.Stop()
@@ -136,6 +137,15 @@ func CreateHandler(cmd *cobra.Command, args []string) error {
 			}
 
 			bar.Set(resp.Completed)
+		} else if strings.Contains(resp.Status, "quantizing") {
+			spinner.Stop()
+
+			if quantizeSpin != nil {
+				quantizeSpin.SetMessage(resp.Status)
+			} else {
+				quantizeSpin = progress.NewSpinner(resp.Status)
+				p.Add("quantize", quantizeSpin)
+			}
 		} else if status != resp.Status {
 			spinner.Stop()
 

llm/llm.go

@@ -1,6 +1,6 @@
 package llm
 
-// #cgo CFLAGS: -Illama.cpp -Illama.cpp/include -Illama.cpp/ggml/include
+// #cgo CPPFLAGS: -Illama.cpp/ggml/include
 // #cgo LDFLAGS: -lllama -lggml -lstdc++ -lpthread
 // #cgo darwin,arm64 LDFLAGS: -L${SRCDIR}/build/darwin/arm64_static -L${SRCDIR}/build/darwin/arm64_static/src -L${SRCDIR}/build/darwin/arm64_static/ggml/src -framework Accelerate -framework Metal
 // #cgo darwin,amd64 LDFLAGS: -L${SRCDIR}/build/darwin/x86_64_static -L${SRCDIR}/build/darwin/x86_64_static/src -L${SRCDIR}/build/darwin/x86_64_static/ggml/src
@@ -9,12 +9,24 @@ package llm
 // #cgo linux,amd64 LDFLAGS: -L${SRCDIR}/build/linux/x86_64_static -L${SRCDIR}/build/linux/x86_64_static/src -L${SRCDIR}/build/linux/x86_64_static/ggml/src
 // #cgo linux,arm64 LDFLAGS: -L${SRCDIR}/build/linux/arm64_static -L${SRCDIR}/build/linux/arm64_static/src -L${SRCDIR}/build/linux/arm64_static/ggml/src
 // #include <stdlib.h>
+// #include <stdatomic.h>
 // #include "llama.h"
+// bool update_quantize_progress(float progress, void* data) {
+//	atomic_int* atomicData = (atomic_int*)data;
+//  int intProgress = *((int*)&progress);
+//  atomic_store(atomicData, intProgress);
+//  return true;
+// }
 import "C"
 
 import (
 	"errors"
+	"fmt"
+	"sync/atomic"
+	"time"
 	"unsafe"
+
+	"github.com/ollama/ollama/api"
 )
 
 // SystemInfo is an unused example of calling llama.cpp functions using CGo
@@ -22,17 +34,49 @@ func SystemInfo() string {
 	return C.GoString(C.llama_print_system_info())
 }
 
-func Quantize(infile, outfile string, ftype fileType) error {
+func Quantize(infile, outfile string, ftype fileType, fn func(resp api.ProgressResponse), tensorCount int) error {
 	cinfile := C.CString(infile)
 	defer C.free(unsafe.Pointer(cinfile))
 
 	coutfile := C.CString(outfile)
 	defer C.free(unsafe.Pointer(coutfile))
-
 	params := C.llama_model_quantize_default_params()
 	params.nthread = -1
 	params.ftype = ftype.Value()
 
+	// Initialize "global" to store progress
+	store := (*int32)(C.malloc(C.sizeof_int))
+	defer C.free(unsafe.Pointer(store))
+
+	// Initialize store value, e.g., setting initial progress to 0
+	atomic.StoreInt32(store, 0)
+
+	params.quantize_callback_data = unsafe.Pointer(store)
+	params.quantize_callback = (C.llama_progress_callback)(C.update_quantize_progress)
+
+	ticker := time.NewTicker(30 * time.Millisecond)
+	done := make(chan struct{})
+	defer close(done)
+
+	go func() {
+		defer ticker.Stop()
+		for {
+			select {
+			case <-ticker.C:
+				progressInt := atomic.LoadInt32(store)
+				progress := *(*float32)(unsafe.Pointer(&progressInt))
+				fn(api.ProgressResponse{
+					Status: fmt.Sprintf("quantizing model %d%%", 100*int(progress)/tensorCount),
+				})
+			case <-done:
+				fn(api.ProgressResponse{
+					Status: fmt.Sprintf("quantizing model 100%%"),
+				})
+				return
+			}
+		}
+	}()
+
 	if rc := C.llama_model_quantize(cinfile, coutfile, &params); rc != 0 {
 		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")
 	}

llm/patches/10-quantize-callback.diff

@@ -0,0 +1,52 @@
+From ed941590d59fc07b1ad21d6aa458588e47d1e446 Mon Sep 17 00:00:00 2001
+From: Josh Yan <jyan00017@gmail.com>
+Date: Wed, 10 Jul 2024 13:39:39 -0700
+Subject: [PATCH] quantize progress
+
+---
+ include/llama.h | 3 +++
+ src/llama.cpp   | 8 ++++++++
+ 2 files changed, 11 insertions(+)
+
+diff --git a/include/llama.h b/include/llama.h
+index bb4b05ba..613db68e 100644
+--- a/include/llama.h
++++ b/include/llama.h
+@@ -349,6 +349,9 @@ 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_progress_callback quantize_callback;   // callback to report quantization progress
++        void * quantize_callback_data;               // user data for the callback
+     } llama_model_quantize_params;
+ 
+     // grammar types
+diff --git a/src/llama.cpp b/src/llama.cpp
+index 2b9ace28..ac640c02 100644
+--- a/src/llama.cpp
++++ b/src/llama.cpp
+@@ -18252,6 +18252,12 @@ 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, params->quantize_callback_data)) {
++                return;
++            }
++        }
++
+         auto weight = ml.get_weight(i);
+         struct ggml_tensor * tensor = weight->tensor;
+         if (weight->idx != cur_split && params->keep_split) {
+@@ -18789,6 +18795,8 @@ 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;
+-- 
+2.39.3 (Apple Git-146)

server/images.go

@@ -435,11 +435,14 @@ func CreateModel(ctx context.Context, name model.Name, modelFileDir, quantizatio
 						return err
 					}
 
+					tensorCount := len(baseLayer.GGML.Tensors().Items)
 					ft := baseLayer.GGML.KV().FileType()
 					if !slices.Contains([]string{"F16", "F32"}, ft.String()) {
 						return errors.New("quantization is only supported for F16 and F32 models")
 					} else if want != ft {
-						fn(api.ProgressResponse{Status: fmt.Sprintf("quantizing %s model to %s", ft, quantization)})
+						fn(api.ProgressResponse{
+							Status: "quantizing model tensors",
+						})
 
 						blob, err := GetBlobsPath(baseLayer.Digest)
 						if err != nil {
@@ -453,7 +456,7 @@ func CreateModel(ctx context.Context, name model.Name, modelFileDir, quantizatio
 						defer temp.Close()
 						defer os.Remove(temp.Name())
 
-						if err := llm.Quantize(blob, temp.Name(), want); err != nil {
+						if err := llm.Quantize(blob, temp.Name(), want, fn, tensorCount); err != nil {
 							return err
 						}