shenzhi-wang/Mistral-7B-v0.3-Chinese-Chat
Mistral-7B-v0.3-Chinese-Chat by Shenzhi Wang is a 7.25 billion parameter instruction-tuned language model based on Mistral-7B-Instruct-v0.3, specifically fine-tuned for both Chinese and English users. It significantly improves Chinese language capabilities and reduces issues of mixed-language responses compared to its base model. This model excels in mathematics, roleplay, and tool use, making it suitable for diverse conversational AI applications.
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Overview
Mistral-7B-v0.3-Chinese-Chat is a 7.25 billion parameter instruction-tuned language model developed by Shenzhi Wang and team. It is built upon the mistralai/Mistral-7B-Instruct-v0.3 base model and has been full-parameter fine-tuned on a mixed Chinese-English dataset of approximately 100K preference pairs using the ORPO algorithm. This fine-tuning process has significantly enhanced its Chinese language abilities and reduced instances of mixed Chinese and English responses, a common issue in general-purpose models.
Key Capabilities
- Enhanced Bilingual Performance: Specifically optimized for both Chinese and English users, addressing common cross-lingual response issues.
- Diverse Functionality: Demonstrates strong performance in areas such as mathematics, roleplay, and tool use.
- Instruction Following: Instruction-tuned to follow user commands effectively across various tasks.
- GGUF Versions Available: Official q4, q8, and f16 GGUF quantized versions are provided for efficient deployment.
Good For
- Bilingual Chatbots: Ideal for applications requiring robust conversational abilities in both Chinese and English.
- Role-playing Scenarios: Capable of engaging in detailed role-play interactions.
- Mathematical Problem Solving: Shows good performance in solving mathematical problems.
- Tool Use/Function Calling: Designed to effectively utilize external tools based on instructions.
- Developers seeking a Mistral-based model with strong Chinese support.