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20 Commits

Author SHA1 Message Date
Josh Yan
a548eb6003 a8db2a9 2024-07-10 13:10:58 -07:00
Josh Yan
f92818d90d patch again 2024-07-10 13:06:40 -07:00
Josh Yan
1ef59057d0 patch llama.cpp 2024-07-10 13:02:37 -07:00
Josh Yan
106fe6b4ae patch 2024-07-10 12:46:45 -07:00
Josh Yan
5fd359d117 added patch 2024-07-10 12:46:45 -07:00
Josh Yan
b0e4e8d76c change 2024-07-10 12:46:44 -07:00
Josh Yan
e59453982d logs 2024-07-10 12:46:22 -07:00
Josh Yan
369113970a wooh 2024-07-10 12:46:14 -07:00
Josh Yan
26ed829415 test 2024-07-10 12:46:14 -07:00
Josh Yan
542134bf50 new 2024-07-10 12:46:09 -07:00
Josh Yan
9e0b8f1fe2 another change 2024-07-10 12:46:06 -07:00
Josh Yan
c498609ba3 cast 2024-07-10 12:45:47 -07:00
Josh Yan
c800a67f1b cast 2024-07-10 12:45:12 -07:00
Josh Yan
dfc62648f3 cast 2024-07-10 12:45:12 -07:00
Josh Yan
24e8292e94 new changes 2024-07-10 12:45:10 -07:00
Josh Yan
c63b4ecbf7 quantize 2024-07-10 12:44:40 -07:00
Josh Yan
ee2b9b076c stop spinner 2024-07-10 12:40:29 -07:00
Josh Yan
bec9100f32 tensor count 2024-07-10 12:40:29 -07:00
Josh Yan
1344843515 image 2024-07-10 12:40:29 -07:00
Josh Yan
e87eafe5cd quantize percentage 2024-07-10 12:40:29 -07:00
5 changed files with 48 additions and 1285 deletions

1
.gitattributes vendored
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@@ -1,2 +1 @@
llm/ext_server/* linguist-vendored
llm/*.h linguist-vendored

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File diff suppressed because it is too large Load Diff

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@@ -1,6 +1,6 @@
package llm
// #cgo CPPFLAGS: -Illama.cpp/ggml/include
// #cgo CFLAGS: -Illama.cpp -Illama.cpp/include -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
@@ -9,20 +9,16 @@ 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;
// *((float*)data) = progress;
// return true;
// }
import "C"
import (
"fmt"
"sync/atomic"
"time"
"unsafe"
"time"
"github.com/ollama/ollama/api"
)
@@ -44,16 +40,16 @@ func Quantize(infile, outfile string, ftype fileType, fn func(resp api.ProgressR
params.ftype = ftype.Value()
// Initialize "global" to store progress
store := (*int32)(C.malloc(C.sizeof_int))
defer C.free(unsafe.Pointer(store))
store := C.malloc(C.sizeof_float)
defer C.free(unsafe.Pointer(store))
// Initialize store value, e.g., setting initial progress to 0
atomic.StoreInt32(store, 0)
// Initialize store value, e.g., setting initial progress to 0
*(*C.float)(store) = 0.0
params.quantize_callback_data = unsafe.Pointer(store)
params.quantize_callback_data = store
params.quantize_callback = (C.llama_progress_callback)(C.update_quantize_progress)
ticker := time.NewTicker(30 * time.Millisecond)
ticker := time.NewTicker(60 * time.Millisecond)
done := make(chan struct{})
defer close(done)
@@ -62,18 +58,16 @@ func Quantize(infile, outfile string, ftype fileType, fn func(resp api.ProgressR
for {
select {
case <-ticker.C:
progressInt := atomic.LoadInt32(store)
progress := *(*float32)(unsafe.Pointer(&progressInt))
fn(api.ProgressResponse{
Status: fmt.Sprintf("quantizing model tensors %d/%d", int(progress), tensorCount),
Quantize: "quant",
})
fmt.Println("Progress: ", progress)
fn(api.ProgressResponse{
Status: fmt.Sprintf("quantizing model %d/%d", int(*((*C.float)(store))), tensorCount),
Quantize: "quant",
})
fmt.Println("Progress: ", *((*C.float)(store)))
case <-done:
fn(api.ProgressResponse{
Status: fmt.Sprintf("quantizing model tensors %d/%d", tensorCount, tensorCount),
Quantize: "quant",
})
fn(api.ProgressResponse{
Status: fmt.Sprintf("quantizing model %d/%d", tensorCount, tensorCount),
Quantize: "quant",
})
return
}
}

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@@ -1,32 +1,18 @@
From ed941590d59fc07b1ad21d6aa458588e47d1e446 Mon Sep 17 00:00:00 2001
From fa509abf281177eacdc71a2a14432c4e6ed74a47 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
Date: Wed, 10 Jul 2024 12:58:31 -0700
Subject: [PATCH] quantize callback
---
include/llama.h | 3 +++
src/llama.cpp | 8 ++++++++
llama.cpp | 8 ++++++++
llama.h | 3 +++
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
diff --git a/llama.cpp b/llama.cpp
index 61948751..d3126510 100644
--- a/llama.cpp
+++ b/llama.cpp
@@ -15586,6 +15586,12 @@ 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) {
@@ -39,7 +25,7 @@ index 2b9ace28..ac640c02 100644
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() {
@@ -16119,6 +16125,8 @@ struct llama_model_quantize_params llama_model_quantize_default_params() {
/*.keep_split =*/ false,
/*.imatrix =*/ nullptr,
/*.kv_overrides =*/ nullptr,
@@ -48,5 +34,20 @@ index 2b9ace28..ac640c02 100644
};
return result;
diff --git a/llama.h b/llama.h
index da310ffa..3cbe6023 100644
--- a/llama.h
+++ b/llama.h
@@ -337,6 +337,9 @@ 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
--
2.39.3 (Apple Git-146)
2.39.3 (Apple Git-146)

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@@ -422,17 +422,12 @@ func CreateModel(ctx context.Context, name model.Name, modelFileDir, quantizatio
if err != nil {
return err
}
tensorCount := len(baseLayer.GGML.Tensors())
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: "quantizing model tensors",
Quantize: "quant",
})
blob, err := GetBlobsPath(baseLayer.Digest)
if err != nil {
return err
@@ -478,6 +473,7 @@ func CreateModel(ctx context.Context, name model.Name, modelFileDir, quantizatio
layers = append(layers, baseLayer.Layer)
}
case "license", "template", "system":
if c.Name != "license" {
// replace