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https://github.com/ggerganov/llama.cpp.git
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Allow using prompt files (#59)
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parent
02f0c6fe7f
commit
f385f8dee8
14
utils.cpp
14
utils.cpp
@ -4,6 +4,10 @@
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#include <cstring>
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#include <cstring>
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#include <fstream>
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#include <fstream>
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#include <regex>
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#include <regex>
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#include <iostream>
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#include <iterator>
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#include <string>
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#include <math.h>
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#if defined(_MSC_VER) || defined(__MINGW32__)
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#if defined(_MSC_VER) || defined(__MINGW32__)
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#include <malloc.h> // using malloc.h with MSC/MINGW
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#include <malloc.h> // using malloc.h with MSC/MINGW
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@ -21,6 +25,14 @@ bool gpt_params_parse(int argc, char ** argv, gpt_params & params) {
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params.n_threads = std::stoi(argv[++i]);
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params.n_threads = std::stoi(argv[++i]);
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} else if (arg == "-p" || arg == "--prompt") {
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} else if (arg == "-p" || arg == "--prompt") {
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params.prompt = argv[++i];
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params.prompt = argv[++i];
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} else if (arg == "-f" || arg == "--file") {
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std::ifstream file(argv[++i]);
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std::copy(std::istreambuf_iterator<char>(file),
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std::istreambuf_iterator<char>(),
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back_inserter(params.prompt));
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} else if (arg == "-n" || arg == "--n_predict") {
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} else if (arg == "-n" || arg == "--n_predict") {
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params.n_predict = std::stoi(argv[++i]);
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params.n_predict = std::stoi(argv[++i]);
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} else if (arg == "--top_k") {
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} else if (arg == "--top_k") {
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@ -59,6 +71,8 @@ void gpt_print_usage(int argc, char ** argv, const gpt_params & params) {
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fprintf(stderr, " -t N, --threads N number of threads to use during computation (default: %d)\n", params.n_threads);
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fprintf(stderr, " -t N, --threads N number of threads to use during computation (default: %d)\n", params.n_threads);
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fprintf(stderr, " -p PROMPT, --prompt PROMPT\n");
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fprintf(stderr, " -p PROMPT, --prompt PROMPT\n");
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fprintf(stderr, " prompt to start generation with (default: random)\n");
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fprintf(stderr, " prompt to start generation with (default: random)\n");
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fprintf(stderr, " -f FNAME, --file FNAME\n");
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fprintf(stderr, " prompt file to start generation.\n");
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fprintf(stderr, " -n N, --n_predict N number of tokens to predict (default: %d)\n", params.n_predict);
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fprintf(stderr, " -n N, --n_predict N number of tokens to predict (default: %d)\n", params.n_predict);
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fprintf(stderr, " --top_k N top-k sampling (default: %d)\n", params.top_k);
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fprintf(stderr, " --top_k N top-k sampling (default: %d)\n", params.top_k);
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fprintf(stderr, " --top_p N top-p sampling (default: %.1f)\n", params.top_p);
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fprintf(stderr, " --top_p N top-p sampling (default: %.1f)\n", params.top_p);
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