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sampling : temp == 0.0 -> no probs, temp < 0.0 -> probs
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@ -224,6 +224,7 @@ bool gpt_params_parse(int argc, char ** argv, gpt_params & params) {
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break;
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}
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sparams.temp = std::stof(argv[i]);
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sparams.temp = std::max(sparams.temp, 0.0f);
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} else if (arg == "--tfs") {
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if (++i >= argc) {
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invalid_param = true;
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@ -168,12 +168,12 @@ llama_token llama_sampling_sample(
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}
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if (temp < 0.0) {
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// greedy sampling, no probs
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id = llama_sample_token_greedy(ctx_main, &cur_p);
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} else if (temp == 0.0) {
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// greedy sampling, with probs
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llama_sample_softmax(ctx_main, &cur_p);
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id = cur_p.data[0].id;
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} else if (temp == 0.0) {
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// greedy sampling, no probs
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id = llama_sample_token_greedy(ctx_main, &cur_p);
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} else {
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if (mirostat == 1) {
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const int mirostat_m = 100;
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@ -118,7 +118,7 @@ int main(int argc, char ** argv) {
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std::vector<seq_draft> drafts(n_seq_dft);
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params.sparams.grammar.clear(); // the draft samplers will copy the target sampler's grammar
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params.sparams.temp = 0.0f;
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params.sparams.temp = -1.0f; // force greedy sampling with probs for the draft model
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for (int s = 0; s < n_seq_dft; ++s) {
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drafts[s].ctx_sampling = llama_sampling_init(params.sparams);
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