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Tencent·Feb 9, 2026·v1.0·open source
HY-1.8B-2Bit
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.
LLMsML
overview
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 features
- 012-bit quantization for efficient deployment
- 02Maintains 96% of full-precision model performance
- 03Dual Chain-of-Thought (Dual-CoT) strategy for flexible reasoning
- 04Competitive performance across various benchmarks
- 05Optimized for edge computing environments
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