lightllm
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add chat template
Summary of Changes
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This pull request significantly enhances the system's ability to handle chat interactions, particularly for models with tool-calling features. By integrating new, specialized chat templates for DeepSeek models and enabling the use of custom Jinja templates, it provides greater control and adaptability over how prompts are constructed and processed, which is crucial for optimizing model performance in complex conversational scenarios.
Highlights
- New Chat Templates Added: Introduced four new Jinja chat templates specifically designed for DeepSeek models (R1, V3, V3.1, V3.2) to support advanced tool calling capabilities.
- Custom Chat Template Support: Added a new command-line argument
--chat_templatetoapi_cli.py, allowing users to specify a custom Jinja file path for chat templating. - Dynamic Template Loading: Modified
build_prompt.pyto dynamically load and apply the custom chat template provided via the new argument to the tokenizer, enhancing flexibility in prompt formatting.
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