DeepSeek-R1-Block-INT8
| Property | Value |
|---|---|
| Original Model | DeepSeek-R1 |
| License | MIT License |
| Quantization Method | Block-wise INT8 |
| Performance Gain | 33% improvement |
What is DeepSeek-R1-Block-INT8?
DeepSeek-R1-Block-INT8 is an optimized version of the DeepSeek-R1 model that implements block-wise INT8 quantization to enhance performance while maintaining accuracy. This implementation achieves up to 33% better throughput compared to the original BF16 model, making it more efficient for deployment on various hardware platforms.
Implementation Details
The model uses a block-wise INT8 quantization approach where quantization scales are determined by dividing the block-wise maximum of element values by the INT8 type maximum. The implementation maintains the model's original accuracy while significantly improving computational efficiency.
- Maintains original accuracy on GSM8K (95.8%) and MMLU (87.1%)
- Achieves 4450.02 qps at batch size 128 (33% improvement)
- Uses 128x128 weight block size for quantization
Core Capabilities
- Efficient inference with INT8 precision
- Compatible with most hardware platforms
- Maintains full model capabilities of DeepSeek-R1
- Supports up to 32,768 token context length
Frequently Asked Questions
Q: What makes this model unique?
The model's block-wise INT8 quantization approach provides significant performance improvements without sacrificing accuracy, making it an excellent choice for production deployments where efficiency is crucial.
Q: What are the recommended use cases?
This model is ideal for production environments where computational efficiency is important while maintaining high accuracy in tasks like mathematical reasoning, code generation, and general language understanding.
