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TencentFebruary 9, 2026

HY-1.8B-2Bit

Open Source
LLMs
ML

Explore HY-1.8B-2Bit

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### 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

Pricing
Open-source; free to use under the AngelSlim license
Cost structure
Version
1.0
Current release version
Hardware
Compatible with devices supporting SME2 instruction set, such as Apple M4, vivo x300, and Arm CPUs with SME2 support
Compute requirements
Category
Open Source
Licensing model
Region
China
Primary region

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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