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license: other
license_name: nvidia-open-model-license
library_name: pytorch
tags:
- protein-design
- protein-binder-design
- biomolecular-design
- proteina-complexa
---
# Proteina-Complexa checkpoint mirror
These are byte-for-byte copies of the six inference checkpoint files published
by NVIDIA for Proteina-Complexa 160M v1. Atomic selects a matched flow-model and
autoencoder pair for the `protein`, `ligand`, or `ame` backend variant.
| Variant | Files | Official source | Upstream revision |
| --- | --- | --- | --- |
| Protein binder | `complexa.ckpt`, `complexa_ae.ckpt` | `nvidia/NV-Proteina-Complexa-Protein-Target-160M-v1` | `ffed199e32612b98ffa04f4640d34d37b137fca5` |
| Ligand binder | `complexa_ligand.ckpt`, `complexa_ligand_ae.ckpt` | `nvidia/NV-Proteina-Complexa-Ligand-Target-160M-v1` | `bc90c8b2c701ceb52d5faef72600b6b5be880244` |
| AME motif scaffolding | `complexa_ame.ckpt`, `complexa_ame_ae.ckpt` | `nvidia/NV-Proteina-Complexa-AME-160M-v1` | `9743d749a8754080a32fda857d95579dfa4dabae` |
The files retain NVIDIA's names and are not converted, sharded, fine-tuned, or
otherwise modified. `SHA256SUMS` is generated after the mirror download and
must match the official Hub LFS digests recorded there.
## License and notice
The weights are governed by the NVIDIA Open Model License Agreement. Redistribu-
tion requires both the complete agreement and the exact attribution notice;
they are included here as `LICENSE-NVIDIA-OPEN-MODEL.txt` and `NOTICE`.
Use must also comply with NVIDIA's Trustworthy AI terms and applicable law. The
upstream model card is part of the source distribution:
- https://huggingface.co/nvidia/NV-Proteina-Complexa-Protein-Target-160M-v1
- https://huggingface.co/nvidia/NV-Proteina-Complexa-Ligand-Target-160M-v1
- https://huggingface.co/nvidia/NV-Proteina-Complexa-AME-160M-v1
Atomic supplies only a checkpoint mirror and a native-runtime bridge. Install
and configure the upstream Proteina-Complexa/BioNeMo runtime separately before
generating structures.
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