Chinese-Llama-2-7b
| Property | Value |
|---|---|
| License | OpenRAIL |
| Languages | Chinese, English |
| Training Data | 10M instruction pairs |
| Framework | PyTorch |
What is Chinese-Llama-2-7b?
Chinese-Llama-2-7b is a fully open-source, commercially viable bilingual language model based on Llama 2. Developed by LinkSoul, it represents a significant advancement in Chinese-English language modeling, maintaining strict compatibility with the original Llama-2-chat format while extending its capabilities to handle Chinese language processing effectively.
Implementation Details
The model is implemented using PyTorch and follows the transformer architecture. It comes in both standard and 4-bit quantized versions, making it accessible for different computational requirements. The implementation strictly adheres to the Llama-2-chat input format, ensuring seamless integration with existing Llama 2 optimizations.
- Fully compatible with original Llama-2-chat format
- Available in standard and 4-bit quantized versions
- Trained on a comprehensive 10M instruction dataset
- Implements text generation and inference endpoints
Core Capabilities
- Bilingual text generation in Chinese and English
- Instruction-following with safety constraints
- Stream-based text generation
- Commercial usage support
- Ethical and safe response generation
Frequently Asked Questions
Q: What makes this model unique?
The model's distinctive feature is its seamless bilingual capabilities while maintaining full compatibility with Llama 2's architecture. It's one of the few Chinese-capable models that comes with commercial usage rights and extensive safety measures.
Q: What are the recommended use cases?
The model is ideal for bilingual applications requiring Chinese-English language processing, including chatbots, content generation, and instruction-following tasks. It's particularly suitable for commercial applications due to its licensing terms.
