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MurrellLab/
LaProteina.jl

Name: LaProteina.jl
Availability: InStock

2507.09466

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La-Proteina SafeTensors Weights

These are the pretrained weights for La-Proteina, converted from the original PyTorch .ckpt checkpoints to SafeTensors format.

Source

Original repository: https://github.com/NVIDIA-Digital-Bio/la-proteina
Paper: https://arxiv.org/abs/2507.09466
Project page: https://research.nvidia.com/labs/genair/la-proteina/

Files

Score Networks

File	Model	Description
`LD1_ucond_notri_512.safetensors`	LD1	Unconditional, no triangle update (up to 512 residues)
`LD2_ucond_tri_512.safetensors`	LD2	Unconditional, with triangle update (up to 512 residues)
`LD3_ucond_notri_800.safetensors`	LD3	Unconditional, long proteins (300-800 residues)
`LD4_motif_idx_aa.safetensors`	LD4	Indexed motif scaffolding, all-atom (up to 256 residues)
`LD5_motif_idx_tip.safetensors`	LD5	Indexed motif scaffolding, tip-atom (up to 256 residues)
`LD6_motif_uidx_aa.safetensors`	LD6	Unindexed motif scaffolding, all-atom (up to 256 residues)
`LD7_motif_uidx_tip.safetensors`	LD7	Unindexed motif scaffolding, tip-atom (up to 256 residues)

Decoders (Autoencoders)

File	Model	Description
`AE1_ucond_512.safetensors`	AE1	Unconditional decoder (up to 512 residues)
`AE2_ucond_800.safetensors`	AE2	Unconditional decoder (up to 800 residues)
`AE3_motif.safetensors`	AE3	Motif scaffolding decoder

Conversion

These SafeTensors files were converted from the original PyTorch .ckpt checkpoints using the scripts/convert_weights_to_safetensors.py script in the La-Proteina repository. Weight tensors are stored as Float32. Only model weights are included (no optimizer state), which is why the SafeTensors files are significantly smaller than the original checkpoints.

License

These weights are licensed under the NVIDIA Open Model License. See the LICENSE file for full terms.

MurrellLab/LaProteina.jl