Xionglong/RFD4-Proteina

AI model by Xionglong

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Sequence and structure, designed together.Baker Lab × NVIDIA GenAIR Project page · Code · Documentation · Training data · Studio (ZeroGPU) · Studio (dedicated GPU) RFD4-Proteína is a flow-matching model for biomolecular design. It generates protein sequences and all-atom structures together, conditioned on the molecular context you want to preserve: a binding target, an enzyme motif, a ligand, or selected structural features. This repository is the canonical native bundle. config.json and model.safetensors at the root are the native weights, loaded by Proteina.frompretrained. It is one model throughout — nothing is retrained. The Diffusers weights are the same tensors re-prefixed and split across transformer/ and vae/. Diffusers needs modelindex.json at the root of whatever it is pointed at, so it has its own repository. Annotated-CIF preprocessing for Diffusers is in nvidia/RFD4-Proteina-prep. Training data lives in the companion dataset repository. The bundle includes both model components. Use the RFD4 loader below; this…

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Model overview

Xionglong/RFD4-Proteina is a task-unspecified model repository published by Xionglong on Hugging Face. The source reports the rfd4-proteina library.

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Model facts

Task: Not reported
Library: rfd4-proteina
Recent downloads (30 days): 0
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: 435,622,465
Architecture: Not reported
License: bsd-3-clause
Access: Not gated by Hugging Face
Created: 2026-10-27T06:40:33.000Z
Last modified: 2026-10-27T06:40:33.000Z

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Reported languages: en

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