HY-1.8B-2Bit
### TL;DR
HY-1.8B-2Bit is a 2-bit quantized large language model developed by Tencent's AngelSlim project. It utilizes Quantization-Aware Training (QAT) on the Hunyuan-1.8B-Instruct backbone, achieving high performance with significantly reduced model size.
Key Insights & Metrics
Key Features
- 2-bit quantization for efficient deployment
- Maintains 96% of full-precision model performance
- Dual Chain-of-Thought (Dual-CoT) strategy for flexible reasoning
- Competitive performance across various benchmarks
- Optimized for edge computing environments
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