← Protein structure & design

HyInv (Tencent Hyra)

HyInv (Tencent Hyra) is a protein structure & design tool whose code is published by Tencent-Hunyuan on GitHub, first public in 2026. Tiny 1.96M-parameter ProteinMPNN-style inverse-folding model (backbone to sequence) trained with structure-reward RL by Tencent's Hyra 2.0 agent; CPU/GPU, fixed-position design, fused Triton fast path.

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CategoryProtein structure & design
Developer (GitHub)Tencent-Hunyuan
InputProtein backbone (N, CA, C, O), single or multiple chains
TaskInverse folding (sequence design)
InterfaceCLI and Python package
Websitegithub.com/Tencent-Hunyuan/Hyra-results/tree/main/AI4Science/hyinv
GitHubTencent-Hunyuan/Hyra-results
First public2026-11-02 (source)
Code licenseMIT
Weights licensebundled weights ship in the MIT-licensed package
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/hyinv/README.md · checked 2026-11-02
PricingOpen source
Tags#inverse-folding#design#reinforcement-learning
Last checked · links verified

Can I use HyInv (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

TaskInverse folding (sequence design)
ModalitiesProtein backbone (N, CA, C, O), single or multiple chains
MSA required—
Open weightsYes (in repo, 7.8 MB safetensors)
GPU needOptional (runs on CPU or GPU)
GitHub stars177
InterfaceCLI and Python package

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