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https://github.com/ggerganov/llama.cpp.git
synced 2024-12-25 22:08:46 +01:00
Add --ignore-eos parameter (#181)
Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
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084e2f0ec0
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10
main.cpp
10
main.cpp
@ -27,6 +27,8 @@
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#define ANSI_COLOR_RESET "\x1b[0m"
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#define ANSI_COLOR_RESET "\x1b[0m"
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#define ANSI_BOLD "\x1b[1m"
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#define ANSI_BOLD "\x1b[1m"
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static const int EOS_TOKEN_ID = 2;
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// determine number of model parts based on the dimension
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// determine number of model parts based on the dimension
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static const std::map<int, int> LLAMA_N_PARTS = {
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static const std::map<int, int> LLAMA_N_PARTS = {
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{ 4096, 1 },
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{ 4096, 1 },
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@ -956,6 +958,11 @@ int main(int argc, char ** argv) {
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{
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{
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const int64_t t_start_sample_us = ggml_time_us();
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const int64_t t_start_sample_us = ggml_time_us();
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if (params.ignore_eos) {
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// set the logit of the eos token to zero to avoid sampling it
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logits[logits.size() - n_vocab + EOS_TOKEN_ID] = 0;
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}
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id = llama_sample_top_p_top_k(vocab, logits.data() + (logits.size() - n_vocab), last_n_tokens, repeat_penalty, top_k, top_p, temp, rng);
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id = llama_sample_top_p_top_k(vocab, logits.data() + (logits.size() - n_vocab), last_n_tokens, repeat_penalty, top_k, top_p, temp, rng);
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last_n_tokens.erase(last_n_tokens.begin());
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last_n_tokens.erase(last_n_tokens.begin());
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@ -1055,7 +1062,8 @@ int main(int argc, char ** argv) {
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}
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}
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// end of text token
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// end of text token
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if (embd.back() == 2) {
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if (embd.back() == EOS_TOKEN_ID) {
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if (params.interactive) {
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if (params.interactive) {
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is_interacting = true;
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is_interacting = true;
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} else {
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} else {
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@ -71,6 +71,8 @@ bool gpt_params_parse(int argc, char ** argv, gpt_params & params) {
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params.use_color = true;
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params.use_color = true;
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} else if (arg == "-r" || arg == "--reverse-prompt") {
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} else if (arg == "-r" || arg == "--reverse-prompt") {
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params.antiprompt = argv[++i];
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params.antiprompt = argv[++i];
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} else if (arg == "--ignore-eos") {
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params.ignore_eos = true;
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} else if (arg == "-h" || arg == "--help") {
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} else if (arg == "-h" || arg == "--help") {
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gpt_print_usage(argc, argv, params);
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gpt_print_usage(argc, argv, params);
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exit(0);
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exit(0);
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@ -106,6 +108,7 @@ void gpt_print_usage(int /*argc*/, char ** argv, const gpt_params & params) {
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fprintf(stderr, " --repeat_last_n N last n tokens to consider for penalize (default: %d)\n", params.repeat_last_n);
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fprintf(stderr, " --repeat_last_n N last n tokens to consider for penalize (default: %d)\n", params.repeat_last_n);
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fprintf(stderr, " --repeat_penalty N penalize repeat sequence of tokens (default: %.1f)\n", params.repeat_penalty);
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fprintf(stderr, " --repeat_penalty N penalize repeat sequence of tokens (default: %.1f)\n", params.repeat_penalty);
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fprintf(stderr, " -c N, --ctx_size N size of the prompt context (default: %d)\n", params.n_ctx);
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fprintf(stderr, " -c N, --ctx_size N size of the prompt context (default: %d)\n", params.n_ctx);
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fprintf(stderr, " --ignore-eos ignore end of stream token and continue generating\n");
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fprintf(stderr, " --memory_f16 use f16 instead of f32 for memory key+value\n");
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fprintf(stderr, " --memory_f16 use f16 instead of f32 for memory key+value\n");
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fprintf(stderr, " --temp N temperature (default: %.1f)\n", params.temp);
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fprintf(stderr, " --temp N temperature (default: %.1f)\n", params.temp);
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fprintf(stderr, " -b N, --batch_size N batch size for prompt processing (default: %d)\n", params.n_batch);
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fprintf(stderr, " -b N, --batch_size N batch size for prompt processing (default: %d)\n", params.n_batch);
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2
utils.h
2
utils.h
@ -36,6 +36,8 @@ struct gpt_params {
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bool interactive = false; // interactive mode
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bool interactive = false; // interactive mode
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bool instruct = false; // instruction mode (used for Alpaca models)
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bool instruct = false; // instruction mode (used for Alpaca models)
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bool ignore_eos = false; // do not stop generating after eos
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};
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};
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bool gpt_params_parse(int argc, char ** argv, gpt_params & params);
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bool gpt_params_parse(int argc, char ** argv, gpt_params & params);
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