Baichuan2-13B-Chat-4bits
| Property | Value |
|---|---|
| License | Apache 2.0 + Community License |
| Languages | English, Chinese |
| Training Data | 2.6 trillion tokens |
| Quantization | 4-bit precision |
What is Baichuan2-13B-Chat-4bits?
Baichuan2-13B-Chat-4bits is a cutting-edge quantized language model developed by Baichuan Intelligence. It represents a 4-bit compressed version of the full Baichuan2-13B-Chat model, designed to maintain high performance while significantly reducing memory requirements and increasing inference speed. The model is trained on a massive dataset of 2.6 trillion tokens and supports both Chinese and English languages.
Implementation Details
The model leverages PyTorch 2.0's F.scaled_dot_product_attention for optimized performance and requires specific technical configurations for deployment. It uses bfloat16 precision and supports automatic device mapping for efficient resource utilization.
- 4-bit quantization for reduced memory footprint
- Built on PyTorch 2.0 architecture
- Supports both chat and instruction-following capabilities
- Implements efficient attention mechanisms
Core Capabilities
- Strong performance in mathematics and logical reasoning
- Enhanced instruction-following abilities
- Comprehensive bilingual support (Chinese-English)
- Benchmark-leading performance in its size class
- 192K long context window support
Frequently Asked Questions
Q: What makes this model unique?
The model stands out for its efficient 4-bit quantization while maintaining strong performance across various benchmarks, particularly in mathematics and logical reasoning tasks. It achieves state-of-the-art results for its size class in both Chinese and English evaluations.
Q: What are the recommended use cases?
The model is suitable for a wide range of applications including text generation, translation, mathematical problem-solving, and general conversation. It's particularly effective for deployments where memory efficiency is crucial while maintaining high performance standards.
