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ngxson 2024-03-24 21:43:29 +01:00
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examples/server/README.md
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@ -360,7 +360,7 @@ Notice that each `probs` is an array of length `n_probs`.
- `default_generation_settings` - the default generation settings for the `/completion` endpoint, has the same fields as the `generation_settings` response object from the `/completion` endpoint. - `default_generation_settings` - the default generation settings for the `/completion` endpoint, has the same fields as the `generation_settings` response object from the `/completion` endpoint.
- `total_slots` - the total number of slots for process requests (defined by `--parallel` option) - `total_slots` - the total number of slots for process requests (defined by `--parallel` option)
- **POST** `/v1/chat/completions`: OpenAI-compatible Chat Completions API. Given a ChatML-formatted json description in `messages`, it returns the predicted completion. Both synchronous and streaming mode are supported, so scripted and interactive applications work fine. While no strong claims of compatibility with OpenAI API spec is being made, in our experience it suffices to support many apps. Only ChatML-tuned models, such as Dolphin, OpenOrca, OpenHermes, OpenChat-3.5, etc can be used with this endpoint. - **POST** `/v1/chat/completions`: OpenAI-compatible Chat Completions API. Given a ChatML-formatted json description in `messages`, it returns the predicted completion. Both synchronous and streaming mode are supported, so scripted and interactive applications work fine. While no strong claims of compatibility with OpenAI API spec is being made, in our experience it suffices to support many apps. Only model with [supported chat template](https://github.com/ggerganov/llama.cpp/wiki/Templates-supported-by-llama_chat_apply_template) can be used optimally with this endpoint. By default, ChatML template will be used.
*Options:* *Options:*

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examples/server/utils.hpp
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@ -371,7 +371,7 @@ static json oaicompat_completion_params_parse(
llama_params["stop"] = json_value(body, "stop", json::array()); llama_params["stop"] = json_value(body, "stop", json::array());
} }
// Some chat templates don't use EOS token to stop generation // Some chat templates don't use EOS token to stop generation
// We must add their end sequences among stop words // We must add their end sequences to list of stop words
llama_params["stop"].push_back("<|im_end|>"); // chatml llama_params["stop"].push_back("<|im_end|>"); // chatml
llama_params["stop"].push_back("<end_of_turn>"); // gemma llama_params["stop"].push_back("<end_of_turn>"); // gemma