bofenghuang/vigogne-2-70b-chat
Vigogne-2-70B-Chat is a 69 billion parameter French chat language model developed by bofenghuang, based on the Llama-2-70B architecture. It is specifically optimized to generate helpful and coherent responses in French conversations. This model is designed for chat applications requiring strong French language capabilities, with a significant portion of its training data distilled from GPT-3.5-Turbo and GPT-4.
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Vigogne-2-70B-Chat: A French Chat LLM
Vigogne-2-70B-Chat is a 69 billion parameter language model built upon the Llama-2-70B architecture, specifically fine-tuned for French conversational AI. Developed by bofenghuang, this model aims to provide helpful and coherent responses in French chat interactions. Its training incorporates data distilled from advanced models like GPT-3.5-Turbo and GPT-4, enhancing its conversational abilities.
Key Capabilities
- French Chat Optimization: Designed for generating natural and relevant responses in French conversations.
- Llama-2 Base: Leverages the robust architecture of Llama-2-70B.
- Instruction Following: Follows instructions effectively, as indicated by its system prompt.
- Prompt Template: Utilizes a Llama-2 adapted chat format, easily applicable via
apply_chat_template()for consistent interaction.
Usage Considerations
- License: Adheres to Llama-2's usage policy.
- Data Source: Users should be mindful of OpenAI's terms of use due to the inclusion of GPT-3.5-Turbo and GPT-4 distilled data in its training.
- Limitations: Still under development, with potential for generating harmful, biased, or incorrect information.
This model is suitable for developers looking to integrate a powerful, French-centric chat assistant into their applications, with a focus on conversational fluency and instruction adherence.