mirror of
https://github.com/ggerganov/llama.cpp.git
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f5a77a629b
* Major refactoring - introduce C-style API * Clean up * Add <cassert> * Add <iterator> * Add <algorithm> .... * Fix timing reporting and accumulation * Measure eval time only for single-token calls * Change llama_tokenize return meaning
61 lines
1.5 KiB
C++
61 lines
1.5 KiB
C++
#include "ggml.h"
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#include "llama.h"
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#include <cstdio>
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#include <string>
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const int QK = 32;
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// usage:
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// ./llama-quantize models/llama/ggml-model.bin models/llama/ggml-model-quant.bin type
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//
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int main(int argc, char ** argv) {
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ggml_time_init();
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if (argc != 4) {
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fprintf(stderr, "usage: %s model-f32.bin model-quant.bin type\n", argv[0]);
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fprintf(stderr, " type = 2 - q4_0\n");
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fprintf(stderr, " type = 3 - q4_1\n");
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return 1;
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}
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// needed to initialize f16 tables
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{
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struct ggml_init_params params = { 0, NULL };
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struct ggml_context * ctx = ggml_init(params);
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ggml_free(ctx);
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}
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const std::string fname_inp = argv[1];
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const std::string fname_out = argv[2];
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const int itype = atoi(argv[3]);
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const int64_t t_main_start_us = ggml_time_us();
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int64_t t_quantize_us = 0;
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// load the model
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{
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const int64_t t_start_us = ggml_time_us();
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if (llama_model_quantize(fname_inp.c_str(), fname_out.c_str(), itype, QK)) {
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fprintf(stderr, "%s: failed to quantize model from '%s'\n", __func__, fname_inp.c_str());
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return 1;
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}
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t_quantize_us = ggml_time_us() - t_start_us;
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}
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// report timing
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{
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const int64_t t_main_end_us = ggml_time_us();
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printf("\n");
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printf("%s: quantize time = %8.2f ms\n", __func__, t_quantize_us/1000.0f);
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printf("%s: total time = %8.2f ms\n", __func__, (t_main_end_us - t_main_start_us)/1000.0f);
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}
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return 0;
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}
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