change
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e59453982d
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@ -28,7 +28,7 @@ func SystemInfo() string {
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return C.GoString(C.llama_print_system_info())
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}
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func Quantize(infile, outfile string, ftype fileType, fn func(resp api.ProgressResponse) ) error {
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func Quantize(infile, outfile string, ftype fileType, fn func(resp api.ProgressResponse), tensorCount int) error {
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cinfile := C.CString(infile)
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defer C.free(unsafe.Pointer(cinfile))
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@ -59,7 +59,7 @@ func Quantize(infile, outfile string, ftype fileType, fn func(resp api.ProgressR
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select {
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case <-ticker.C:
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fn(api.ProgressResponse{
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Status: fmt.Sprintf("quantizing model %d%%", int(*((*C.float)(store))*100)),
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Status: fmt.Sprintf("quantizing model %d/%d", int(*((*C.float)(store))), tensorCount),
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Quantize: "quant",
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})
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fmt.Println("Progress: ", *((*C.float)(store)))
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@ -422,6 +422,7 @@ func CreateModel(ctx context.Context, name model.Name, modelFileDir, quantizatio
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if err != nil {
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return err
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}
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tensorCount := len(baseLayer.GGML.Tensors())
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ft := baseLayer.GGML.KV().FileType()
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if !slices.Contains([]string{"F16", "F32"}, ft.String()) {
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@ -441,7 +442,7 @@ func CreateModel(ctx context.Context, name model.Name, modelFileDir, quantizatio
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// Quantizes per layer
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// Save total quantized tensors
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if err := llm.Quantize(blob, temp.Name(), want, fn); err != nil {
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if err := llm.Quantize(blob, temp.Name(), want, fn, tensorCount); err != nil {
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return err
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}
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