mirror of
https://github.com/jart/cosmopolitan.git
synced 2025-01-31 11:37:35 +00:00
8fdb31681a
llama.com can now load weights that use the new file format which was introduced a few weeks ago. Note that, unlike llama.cpp, we will keep support for old file formats in our tool so you don't need to convert your weights when the upstream project makes breaking changes. Please note that using ggjt v3 does make avx2 inference go 5% faster for me.
123 lines
5.3 KiB
C++
123 lines
5.3 KiB
C++
/*-*-mode:c++;indent-tabs-mode:nil;c-basic-offset:4;tab-width:8;coding:utf-8-*-│
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│vi: set net ft=c++ ts=4 sts=4 sw=4 fenc=utf-8 :vi│
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╚──────────────────────────────────────────────────────────────────────────────╝
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│ │
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│ llama.com │
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│ Copyright (c) 2023 Georgi Gerganov │
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│ │
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│ Permission is hereby granted, free of charge, to any person obtaining │
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│ a copy of this software and associated documentation files (the │
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│ "Software"), to deal in the Software without restriction, including │
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│ without limitation the rights to use, copy, modify, merge, publish, │
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│ distribute, sublicense, and/or sell copies of the Software, and to │
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│ permit persons to whom the Software is furnished to do so, subject to │
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│ the following conditions: │
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│ │
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│ The above copyright notice and this permission notice shall be │
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│ included in all copies or substantial portions of the Software. │
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│ │
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│ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, │
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│ EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF │
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│ MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. │
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│ IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY │
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│ CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, │
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│ TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE │
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│ SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. │
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│ │
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╚─────────────────────────────────────────────────────────────────────────────*/
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#include "libc/log/log.h"
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#include "libc/runtime/runtime.h"
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#include "third_party/ggml/common.h"
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#include "third_party/ggml/ggml.h"
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#include "third_party/ggml/llama.h"
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#include "third_party/ggml/llama_util.h"
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#include "third_party/libcxx/map"
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#include "third_party/libcxx/vector"
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asm(".ident\t\"\\n\\n\
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llama.cpp (MIT License)\\n\
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Copyright (c) 2023 Georgi Gerganov\"");
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asm(".include \"libc/disclaimer.inc\"");
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// clang-format off
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static const std::map<std::string, llama_ftype> LLAMA_FTYPE_MAP = {
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{"f32", LLAMA_FTYPE_ALL_F32 },
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{"f16", LLAMA_FTYPE_MOSTLY_F16 },
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{"q4_0", LLAMA_FTYPE_MOSTLY_Q4_0},
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{"q4_1", LLAMA_FTYPE_MOSTLY_Q4_1},
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{"q4_2", LLAMA_FTYPE_MOSTLY_Q4_2},
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{"q5_0", LLAMA_FTYPE_MOSTLY_Q5_0},
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{"q5_1", LLAMA_FTYPE_MOSTLY_Q5_1},
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{"q8_0", LLAMA_FTYPE_MOSTLY_Q8_0},
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};
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// usage:
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// ./quantize models/llama/ggml-model.bin models/llama/ggml-model-quant.bin type [nthreads]
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//
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int main(int argc, char ** argv) {
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MakeProcessNice();
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ShowCrashReports();
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ggjt_v3();
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ggml_time_init();
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if (argc < 3) {
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fprintf(stderr, "usage: %s model-f32.bin model-quant.bin type [nthreads]\n", argv[0]);
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for (auto it = LLAMA_FTYPE_MAP.begin(); it != LLAMA_FTYPE_MAP.end(); it++) {
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fprintf(stderr, " type = \"%s\" or %d\n", it->first.c_str(), it->second);
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}
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return 1;
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}
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// needed to initialize f16 tables
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llama_init_backend();
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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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if (fname_inp == fname_out) {
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fprintf(stderr, "%s: input and output names are same\n", fname_inp.c_str());
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exit(1);
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}
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enum llama_ftype ftype;
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if (!is_integer_str(argv[3])) {
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auto it = LLAMA_FTYPE_MAP.find(argv[3]);
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if (it == LLAMA_FTYPE_MAP.end()) {
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fprintf(stderr, "%s: unknown ftype '%s'\n", __func__, argv[3]);
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return 1;
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}
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ftype = it->second;
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} else {
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ftype = (enum llama_ftype)atoi(argv[3]);
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}
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int nthread = argc > 4 ? atoi(argv[4]) : std::min(20, std::max(1, _getcpucount() >> 1));
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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(), ftype, nthread)) {
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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/1000.0);
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printf("%s: total time = %8.2f ms\n", __func__, (t_main_end_us - t_main_start_us)/1000.0);
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}
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return 0;
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}
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