Testing Tencent HY3 Local Deployment on a 128GB Mac
returnity · reddit · 2026-07-11
A developer successfully deployed Tencent's latest open-source HY3 model (295B-A21B MoE) on a 128GB Mac Studio, sharing detailed configuration steps and performance metrics.
- Deployment Details: Used a community-provided 107GB dynamic 2-bit quantized version (UD128). By pulling a specific llama.cpp branch and modifying the architecture identifier in the GGUF file, it ran successfully under the Metal framework.
- Performance: In a 16K context environment, the prefill speed reached 124 tokens/s, and generation speed was 16.3 tokens/s.
- User Experience: Actual generation speed doubled compared to running DeepSeek V4 Flash previously, with equal or superior output quality. Initial tests show excellent performance in standard prompting and basic tool calling.
- Future Plans: The author plans to further test multi-token prediction (MTP) acceleration and longer, complex coding tasks.
Related event: Tencent HY3 Model Successfully Deployed on 128GB Mac(2 posts)→
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