Merge branch 'main' of github.com:abetlen/llama_cpp_python into main
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@ -283,6 +283,15 @@ Navigate to [http://localhost:8000/docs](http://localhost:8000/docs) to see the
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To bind to `0.0.0.0` to enable remote connections, use `python3 -m llama_cpp.server --host 0.0.0.0`.
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Similarly, to change the port (default is 8000), use `--port`.
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You probably also want to set the prompt format. For chatml, use
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```bash
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python3 -m llama_cpp.server --model models/7B/llama-model.gguf --chat_format chatml
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```
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That will format the prompt according to how model expects it. You can find the prompt format in the model card.
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For possible options, see [llama_cpp/llama_chat_format.py](llama_cpp/llama_chat_format.py) and look for lines starting with "@register_chat_format".
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## Docker image
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A Docker image is available on [GHCR](https://ghcr.io/abetlen/llama-cpp-python). To run the server:
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@ -456,6 +456,21 @@ def format_oasst_llama(
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return ChatFormatterResponse(prompt=_prompt)
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@register_chat_format("baichuan-2")
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def format_baichuan2(
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messages: List[llama_types.ChatCompletionRequestMessage],
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**kwargs: Any,
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) -> ChatFormatterResponse:
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_system_template = "{system_message}"
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_roles = dict(user="<reserved_106>", assistant="<reserved_107>")
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_sep = ""
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system_message = _get_system_message(messages)
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system_message = _system_template.format(system_message=system_message)
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_messages = _map_roles(messages, _roles)
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_messages.append((_roles["assistant"], None))
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_prompt = _format_no_colon_single(system_message, _messages, _sep)
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return ChatFormatterResponse(prompt=_prompt)
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@register_chat_format("openbuddy")
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def format_openbuddy(
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messages: List[llama_types.ChatCompletionRequestMessage],
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