ggml : quantization refactoring (#3833)
* ggml : factor all quantization code in ggml-quants ggml-ci * ggml-quants : fix Zig and Swift builds + quantize tool ggml-ci * quantize : --pure option for disabling k-quant mixtures --------- Co-authored-by: cebtenzzre <cebtenzzre@gmail.com>
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11 changed files with 2372 additions and 2385 deletions
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@ -18,7 +18,6 @@ static const std::vector<struct quant_option> QUANT_OPTIONS = {
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{ "Q4_1", LLAMA_FTYPE_MOSTLY_Q4_1, " 3.90G, +0.1585 ppl @ LLaMA-v1-7B", },
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{ "Q5_0", LLAMA_FTYPE_MOSTLY_Q5_0, " 4.33G, +0.0683 ppl @ LLaMA-v1-7B", },
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{ "Q5_1", LLAMA_FTYPE_MOSTLY_Q5_1, " 4.70G, +0.0349 ppl @ LLaMA-v1-7B", },
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#ifdef GGML_USE_K_QUANTS
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{ "Q2_K", LLAMA_FTYPE_MOSTLY_Q2_K, " 2.63G, +0.6717 ppl @ LLaMA-v1-7B", },
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{ "Q3_K", LLAMA_FTYPE_MOSTLY_Q3_K_M, "alias for Q3_K_M" },
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{ "Q3_K_S", LLAMA_FTYPE_MOSTLY_Q3_K_S, " 2.75G, +0.5551 ppl @ LLaMA-v1-7B", },
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@ -31,7 +30,6 @@ static const std::vector<struct quant_option> QUANT_OPTIONS = {
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{ "Q5_K_S", LLAMA_FTYPE_MOSTLY_Q5_K_S, " 4.33G, +0.0400 ppl @ LLaMA-v1-7B", },
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{ "Q5_K_M", LLAMA_FTYPE_MOSTLY_Q5_K_M, " 4.45G, +0.0122 ppl @ LLaMA-v1-7B", },
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{ "Q6_K", LLAMA_FTYPE_MOSTLY_Q6_K, " 5.15G, -0.0008 ppl @ LLaMA-v1-7B", },
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#endif
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{ "Q8_0", LLAMA_FTYPE_MOSTLY_Q8_0, " 6.70G, +0.0004 ppl @ LLaMA-v1-7B", },
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{ "F16", LLAMA_FTYPE_MOSTLY_F16, "13.00G @ 7B", },
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{ "F32", LLAMA_FTYPE_ALL_F32, "26.00G @ 7B", },
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@ -70,13 +68,14 @@ static bool try_parse_ftype(const std::string & ftype_str_in, llama_ftype & ftyp
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}
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// usage:
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// ./quantize [--allow-requantize] [--leave-output-tensor] models/llama/ggml-model.gguf [models/llama/ggml-model-quant.gguf] type [nthreads]
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// ./quantize [--allow-requantize] [--leave-output-tensor] [--pure] models/llama/ggml-model.gguf [models/llama/ggml-model-quant.gguf] type [nthreads]
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//
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[[noreturn]]
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static void usage(const char * executable) {
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printf("usage: %s [--help] [--allow-requantize] [--leave-output-tensor] model-f32.gguf [model-quant.gguf] type [nthreads]\n\n", executable);
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printf("usage: %s [--help] [--allow-requantize] [--leave-output-tensor] [--pure] model-f32.gguf [model-quant.gguf] type [nthreads]\n\n", executable);
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printf(" --allow-requantize: Allows requantizing tensors that have already been quantized. Warning: This can severely reduce quality compared to quantizing from 16bit or 32bit\n");
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printf(" --leave-output-tensor: Will leave output.weight un(re)quantized. Increases model size but may also increase quality, especially when requantizing\n");
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printf(" --pure: Disable k-quant mixtures and quantize all tensors to the same type\n");
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printf("\nAllowed quantization types:\n");
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for (auto & it : QUANT_OPTIONS) {
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if (it.name != "COPY") {
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@ -103,6 +102,8 @@ int main(int argc, char ** argv) {
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params.quantize_output_tensor = false;
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} else if (strcmp(argv[arg_idx], "--allow-requantize") == 0) {
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params.allow_requantize = true;
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} else if (strcmp(argv[arg_idx], "--pure") == 0) {
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params.pure = true;
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} else {
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usage(argv[0]);
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}
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