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-rwxr-xr-xexamples/chat.sh2
-rw-r--r--examples/common.cpp2
-rw-r--r--examples/main/main.cpp3
3 files changed, 3 insertions, 4 deletions
diff --git a/examples/chat.sh b/examples/chat.sh
index 97973d0..9a928ef 100755
--- a/examples/chat.sh
+++ b/examples/chat.sh
@@ -11,6 +11,6 @@ cd ..
#
# "--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 \
-r "User:" -f prompts/chat-with-bob.txt
diff --git a/examples/common.cpp b/examples/common.cpp
index 866a6b0..2ab000f 100644
--- a/examples/common.cpp
+++ b/examples/common.cpp
@@ -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, " -f FNAME, --file FNAME\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_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);
diff --git a/examples/main/main.cpp b/examples/main/main.cpp
index f78936d..a453743 100644
--- a/examples/main/main.cpp
+++ b/examples/main/main.cpp
@@ -199,7 +199,6 @@ int main(int argc, char ** argv) {
}
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
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;
- while (n_remain > 0 || params.interactive) {
+ while (n_remain != 0 || params.interactive) {
// predict
if (embd.size() > 0) {
// infinite text generation via context swapping