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https://github.com/ggerganov/llama.cpp.git
synced 2024-12-27 20:04:35 +00:00
fixed premature end due stop word
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parent
fd64f04fc2
commit
2d9f11db28
@ -86,7 +86,7 @@ async function chat_completion(question) {
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n_predict: 256,
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cache_prompt: no_cached_prompt === "false",
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slot_id: slot_id,
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stop: ["### Human:"], // stop completion after generating this
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stop: ["\n### Human:"], // stop completion after generating this
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grammar,
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stream: true,
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})
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@ -316,6 +316,7 @@ struct llama_client_slot
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struct slot_params params;
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struct llama_sampling_params sparams;
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llama_sampling_context ctx_sampling;
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bool has_next_token = true;
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// grammar props
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grammar_parser::parse_state parsed_grammar;
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@ -710,9 +711,14 @@ struct llama_server_context
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if (pos != std::string::npos &&
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(stop_pos == std::string::npos || pos < stop_pos))
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{
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stop_pos = pos;
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if (type == STOP_FULL)
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{
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slot.stopped_word = true;
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slot.stopping_word = word;
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slot.has_next_token = false;
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}
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stop_pos = pos;
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}
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}
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return stop_pos;
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@ -727,6 +733,8 @@ struct llama_server_context
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// search stop word and delete it
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slot.generated_text += token_str;
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slot.has_next_token = true;
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size_t pos = std::min(slot.sent_count, slot.generated_text.size());
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const std::string str_test = slot.generated_text.substr(pos);
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bool is_stop_full = false;
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@ -744,15 +752,13 @@ struct llama_server_context
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}
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// check if there is any token to predict
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bool has_next_token = !is_stop_full && stop_pos > 0;
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if(stop_pos == std::string::npos) {
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if(stop_pos == std::string::npos || (!slot.has_next_token && !is_stop_full && stop_pos > 0)) {
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// no send the stop word in the response
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result.text_to_send = slot.generated_text.substr(pos, std::string::npos);
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slot.sent_count += result.text_to_send.size();
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has_next_token = true;
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}
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// add the token to slot queue and cache
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slot.addTokenString(result);
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}
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if (slot.multibyte_pending > 0)
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{
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slot.multibyte_pending -= token_str.size();
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@ -781,29 +787,29 @@ struct llama_server_context
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}
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}
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if (slot.multibyte_pending > 0 && !has_next_token)
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if (slot.multibyte_pending > 0 && !slot.has_next_token)
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{
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has_next_token = true;
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slot.has_next_token = true;
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}
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// check the limits
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if (
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slot.n_decoded > 2 && has_next_token && !slot.hasBudget(params))
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slot.n_decoded > 2 && slot.has_next_token && !slot.hasBudget(params))
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{
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slot.stopped_limit = true;
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has_next_token = false;
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slot.has_next_token = false;
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}
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if (!slot.cache_tokens.empty() && result.tok == llama_token_eos(ctx)){
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slot.stopped_eos = true;
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has_next_token = false;
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slot.has_next_token = false;
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LOG_VERBOSE("eos token found", {});
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}
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LOG_VERBOSE("next token", {
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{"token", result.tok},
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{"token_text", tokens_to_output_formatted_string(ctx, result.tok)},
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{"has_next_token", has_next_token},
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{"has_next_token", slot.has_next_token},
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{"n_remain", slot.n_remaining},
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{"num_tokens_predicted", slot.num_tokens_predicted},
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{"stopped_eos", slot.stopped_eos},
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@ -811,7 +817,7 @@ struct llama_server_context
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{"stopped_limit", slot.stopped_limit},
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{"stopping_word", slot.stopping_word},
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});
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return has_next_token; // continue
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return slot.has_next_token; // continue
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}
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#ifdef SERVER_MULTIMODAL_SUPPORT
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@ -2293,7 +2299,6 @@ int main(int argc, char **argv)
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const json body = json::parse(req.body);
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llama_client_slot* slot = llama.getSlot(-1);
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slot->reset();
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//llama_reset_timings(llama.ctx);
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if (body.count("content") != 0)
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{
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slot->prompt = body["content"];
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