aditya/llama.cpp
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If n_predict == -1, generate forever

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Georgi Gerganov 2023-03-25 21:51:41 +02:00
parent e2d490dafd
commit 79b2b266db
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GPG key ID: 449E073F9DC10735
3 changed files with 3 additions and 4 deletions
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2
examples/chat.sh
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@ -11,6 +11,6 @@ cd ..
# #
# "--keep 48" is based on the contents of prompts/chat-with-bob.txt # "--keep 48" is based on the contents of prompts/chat-with-bob.txt
# #
./main -m ./models/7B/ggml-model-q4_0.bin -c 2048 -b 1024 -n 256 --keep 48 \ ./main -m ./models/7B/ggml-model-q4_0.bin -c 512 -b 1024 -n 256 --keep 48 \
--repeat_penalty 1.0 --color -i \ --repeat_penalty 1.0 --color -i \
-r "User:" -f prompts/chat-with-bob.txt -r "User:" -f prompts/chat-with-bob.txt

2
examples/common.cpp
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@ -204,7 +204,7 @@ void gpt_print_usage(int /*argc*/, char ** argv, const gpt_params & params) {
fprintf(stderr, " --in-prefix STRING string to prefix user inputs with (default: empty)\n"); fprintf(stderr, " --in-prefix STRING string to prefix user inputs with (default: empty)\n");
fprintf(stderr, " -f FNAME, --file FNAME\n"); fprintf(stderr, " -f FNAME, --file FNAME\n");
fprintf(stderr, " prompt file to start generation.\n"); fprintf(stderr, " prompt file to start generation.\n");
fprintf(stderr, " -n N, --n_predict N number of tokens to predict (default: %d)\n", params.n_predict); fprintf(stderr, " -n N, --n_predict N number of tokens to predict (default: %d, -1 - infinity)\n", params.n_predict);
fprintf(stderr, " --top_k N top-k sampling (default: %d)\n", params.top_k); fprintf(stderr, " --top_k N top-k sampling (default: %d)\n", params.top_k);
fprintf(stderr, " --top_p N top-p sampling (default: %.1f)\n", params.top_p); fprintf(stderr, " --top_p N top-p sampling (default: %.1f)\n", params.top_p);
fprintf(stderr, " --repeat_last_n N last n tokens to consider for penalize (default: %d)\n", params.repeat_last_n); fprintf(stderr, " --repeat_last_n N last n tokens to consider for penalize (default: %d)\n", params.repeat_last_n);

3
examples/main/main.cpp
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@ -199,7 +199,6 @@ int main(int argc, char ** argv) {
} }
params.n_keep = std::min(params.n_keep, (int) embd_inp.size()); params.n_keep = std::min(params.n_keep, (int) embd_inp.size());
//params.n_predict = std::min(params.n_predict, n_ctx - (int) embd_inp.size());
// prefix & suffix for instruct mode // prefix & suffix for instruct mode
const auto inp_pfx = ::llama_tokenize(ctx, "\n\n### Instruction:\n\n", true); const auto inp_pfx = ::llama_tokenize(ctx, "\n\n### Instruction:\n\n", true);
@ -293,7 +292,7 @@ int main(int argc, char ** argv) {
std::vector<llama_token> embd; std::vector<llama_token> embd;
while (n_remain > 0 || params.interactive) { while (n_remain != 0 || params.interactive) {
// predict // predict
if (embd.size() > 0) { if (embd.size() > 0) {
// infinite text generation via context swapping // infinite text generation via context swapping