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If n_predict == -1, generate forever
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@ -11,6 +11,6 @@ cd ..
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#
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# "--keep 48" is based on the contents of prompts/chat-with-bob.txt
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#
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./main -m ./models/7B/ggml-model-q4_0.bin -c 2048 -b 1024 -n 256 --keep 48 \
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./main -m ./models/7B/ggml-model-q4_0.bin -c 512 -b 1024 -n 256 --keep 48 \
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--repeat_penalty 1.0 --color -i \
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-r "User:" -f prompts/chat-with-bob.txt
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@ -204,7 +204,7 @@ void gpt_print_usage(int /*argc*/, char ** argv, const gpt_params & params) {
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fprintf(stderr, " --in-prefix STRING string to prefix user inputs with (default: empty)\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, -1 - infinity)\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_p N top-p sampling (default: %.1f)\n", params.top_p);
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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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@ -199,7 +199,6 @@ int main(int argc, char ** argv) {
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}
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params.n_keep = std::min(params.n_keep, (int) embd_inp.size());
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//params.n_predict = std::min(params.n_predict, n_ctx - (int) embd_inp.size());
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// prefix & suffix for instruct mode
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const auto inp_pfx = ::llama_tokenize(ctx, "\n\n### Instruction:\n\n", true);
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@ -293,7 +292,7 @@ int main(int argc, char ** argv) {
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std::vector<llama_token> embd;
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while (n_remain > 0 || params.interactive) {
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while (n_remain != 0 || params.interactive) {
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// predict
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if (embd.size() > 0) {
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// infinite text generation via context swapping
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