Buckets:
| int main(int argc, char ** argv){ | |
| std::setlocale(LC_NUMERIC, "C"); | |
| common_params params; | |
| common_init(); | |
| if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_LOOKUP)) { | |
| return 1; | |
| } | |
| // init llama.cpp | |
| llama_backend_init(); | |
| llama_numa_init(params.numa); | |
| // load the model | |
| auto llama_init = common_init_from_params(params); | |
| auto * model = llama_init->model(); | |
| auto * ctx = llama_init->context(); | |
| GGML_ASSERT(model != nullptr); | |
| // tokenize the prompt | |
| std::vector<llama_token> inp; | |
| inp = common_tokenize(ctx, params.prompt, true, true); | |
| fprintf(stderr, "%s: tokenization done\n", __func__); | |
| common_ngram_cache ngram_cache; | |
| common_ngram_cache_update(ngram_cache, LLAMA_NGRAM_STATIC, LLAMA_NGRAM_STATIC, inp, inp.size(), true); | |
| fprintf(stderr, "%s: hashing done, writing file to %s\n", __func__, params.speculative.ngram_cache.lookup_cache_static.c_str()); | |
| common_ngram_cache_save(ngram_cache, params.speculative.ngram_cache.lookup_cache_static); | |
| return 0; | |
| } | |
Xet Storage Details
- Size:
- 1.2 kB
- Xet hash:
- 3f38f99083236dc61b31d3daa2841cd72e66422291c42799d8820940f3d6e6bf
·
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