← Protein structure & design

HyPLM-Flash (Tencent Hyra)

HyPLM-Flash (Tencent Hyra) is a protein structure & design tool whose code is published by Tencent-Hunyuan on GitHub, first public in 2026. 650M-parameter protein language model trained by Tencent's Hyra 2.0 agent, with an INT8 engine embedding ~130k residues/s on one H20; ProteinGym zero-shot Spearman 0.409, tied with ESM-2 650M and ESM C 600M.

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CategoryProtein structure & design
Developer (GitHub)Tencent-Hunyuan
InputProtein sequence
TaskProtein embeddings, masked-LM zero-shot mutation scoring
InterfacePython package and CLI; CUDA GPU required
Websitegithub.com/Tencent-Hunyuan/Hyra-results/tree/main/AI4Science/hyplm_flash
GitHubTencent-Hunyuan/Hyra-results
First public2026-11-02 (source)
Code licenseMIT
Weights licenseFP32 weights (2.6 GB) distributed as a GitHub Release, no separate weights license stated
What this allowsPermissive (commercial OK)
Use, modify and ship it inside closed-source commercial products; keep the license text and copyright notices. What do these mean?
License sourcegithub.com/Tencent-Hunyuan/Hyra-results/blob/main/AI4Science/hyplm_flash/README.md · checked 2026-11-02
PricingOpen source
Tags#protein-language-model#embeddings#variant-effect
Last checked · links verified

Can I use HyPLM-Flash (Tencent Hyra) commercially?

Yes. The recorded license is permissive, so closed-source commercial use is allowed if you keep the notices.

What the license types mean · not legal advice.

Specs

TaskProtein embeddings, masked-LM zero-shot mutation scoring
ModalitiesProtein sequence
MSA requiredNo (single sequence)
Open weightsYes (GitHub Release)
GPU needCUDA GPU required (Hopper such as H20/H100 recommended)
GitHub stars177
InterfacePython package and CLI; CUDA GPU required

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