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https://github.com/ggerganov/llama.cpp.git
synced 2024-12-25 05:48:47 +01:00
Support for multiple reverse prompts. (#299)
Co-authored-by: Johnman <> Co-authored-by: Johnman <tjohnman@github>
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parent
7392f1cd2c
commit
24568371ae
34
main.cpp
34
main.cpp
@ -855,14 +855,18 @@ int main(int argc, char ** argv) {
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// in instruct mode, we inject a prefix and a suffix to each input by the user
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if (params.instruct) {
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params.interactive = true;
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params.antiprompt = "### Instruction:\n\n";
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params.antiprompt.push_back("### Instruction:\n\n");
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}
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// tokenize the reverse prompt
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std::vector<gpt_vocab::id> antiprompt_inp = ::llama_tokenize(vocab, params.antiprompt, false);
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std::vector<std::vector<gpt_vocab::id>> antipromptv_inp;
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for (auto antiprompt : params.antiprompt) {
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antipromptv_inp.push_back(::llama_tokenize(vocab, antiprompt, false));
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}
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// enable interactive mode if reverse prompt is specified
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if (!antiprompt_inp.empty()) {
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if (!antipromptv_inp.size()) {
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params.interactive = true;
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}
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@ -886,13 +890,16 @@ int main(int argc, char ** argv) {
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fprintf(stderr, "%s: interactive mode on.\n", __func__);
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if (antiprompt_inp.size()) {
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fprintf(stderr, "%s: reverse prompt: '%s'\n", __func__, params.antiprompt.c_str());
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fprintf(stderr, "%s: number of tokens in reverse prompt = %zu\n", __func__, antiprompt_inp.size());
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for (int i = 0; i < (int) antiprompt_inp.size(); i++) {
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fprintf(stderr, "%6d -> '%s'\n", antiprompt_inp[i], vocab.id_to_token.at(antiprompt_inp[i]).c_str());
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if(antipromptv_inp.size()) {
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for (size_t apindex = 0; apindex < antipromptv_inp.size(); ++apindex) {
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auto antiprompt_inp = antipromptv_inp.at(apindex);
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fprintf(stderr, "%s: reverse prompt: '%s'\n", __func__, params.antiprompt.at(apindex).c_str());
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fprintf(stderr, "%s: number of tokens in reverse prompt = %zu\n", __func__, antiprompt_inp.size());
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for (int i = 0; i < (int) antiprompt_inp.size(); i++) {
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fprintf(stderr, "%6d -> '%s'\n", antiprompt_inp[i], vocab.id_to_token.at(antiprompt_inp[i]).c_str());
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}
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fprintf(stderr, "\n");
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}
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fprintf(stderr, "\n");
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}
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}
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fprintf(stderr, "sampling parameters: temp = %f, top_k = %d, top_p = %f, repeat_last_n = %i, repeat_penalty = %f\n", params.temp, params.top_k, params.top_p, params.repeat_last_n, params.repeat_penalty);
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@ -1009,9 +1016,12 @@ int main(int argc, char ** argv) {
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// check if we should prompt the user for more
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if (params.interactive && embd_inp.size() <= input_consumed) {
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// check for reverse prompt
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if (antiprompt_inp.size() && std::equal(antiprompt_inp.rbegin(), antiprompt_inp.rend(), last_n_tokens.rbegin())) {
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// reverse prompt found
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is_interacting = true;
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for (auto antiprompt_inp : antipromptv_inp) {
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if (antiprompt_inp.size() && std::equal(antiprompt_inp.rbegin(), antiprompt_inp.rend(), last_n_tokens.rbegin())) {
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// reverse prompt found
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is_interacting = true;
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break;
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}
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}
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if (is_interacting) {
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if (params.instruct) {
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@ -70,7 +70,7 @@ bool gpt_params_parse(int argc, char ** argv, gpt_params & params) {
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} else if (arg == "--color") {
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params.use_color = true;
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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.push_back(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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@ -96,7 +96,8 @@ void gpt_print_usage(int /*argc*/, char ** argv, const gpt_params & params) {
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fprintf(stderr, " -i, --interactive run in interactive mode\n");
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fprintf(stderr, " -ins, --instruct run in instruction mode (use with Alpaca models)\n");
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fprintf(stderr, " -r PROMPT, --reverse-prompt PROMPT\n");
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fprintf(stderr, " in interactive mode, poll user input upon seeing PROMPT\n");
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fprintf(stderr, " in interactive mode, poll user input upon seeing PROMPT (can be\n");
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fprintf(stderr, " specified more than once for multiple prompts).\n");
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fprintf(stderr, " --color colorise output to distinguish prompt and user input from generations\n");
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fprintf(stderr, " -s SEED, --seed SEED RNG seed (default: -1)\n");
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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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4
utils.h
4
utils.h
@ -30,15 +30,15 @@ struct gpt_params {
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std::string model = "models/lamma-7B/ggml-model.bin"; // model path
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std::string prompt = "";
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std::string antiprompt = ""; // string upon seeing which more user input is prompted
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bool random_prompt = false;
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bool use_color = false; // use color to distinguish generations and inputs
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bool interactive = false; // interactive mode
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bool interactive_start = false; // reverse prompt immediately
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std::vector<std::string> antiprompt; // string upon seeing which more user input is prompted
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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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