| --- |
| license: mit |
| library_name: tt-bio |
| tags: |
| - biology |
| - protein-structure-prediction |
| - protein-ligand |
| - binding-affinity |
| - boltz |
| - tenstorrent |
| --- |
| |
| # Boltz-2 weights (tt-bio mirror) |
|
|
| Mirror of the [Boltz-2](https://github.com/jwohlwend/boltz) structure- and |
| affinity-prediction weights, packaged for use with |
| [tt-bio](https://github.com/moritztng/tt-bio) on Tenstorrent hardware. The |
| files are byte-for-byte identical to the upstream Boltz-2 release; this repo |
| simply hosts them on the Hugging Face Hub so tt-bio can fetch them with |
| `huggingface_hub` like every other model it runs. |
|
|
| ## Files |
|
|
| | File | Description | |
| |------|-------------| |
| | `boltz2_conf.ckpt` | Boltz-2 structure / confidence model | |
| | `boltz2_aff.ckpt` | Boltz-2 binding-affinity model | |
| | `mols.tar` | CCD molecule / component library used during featurization | |
|
|
| ## Usage |
|
|
| tt-bio downloads these automatically: |
|
|
| ```bash |
| tt-bio predict examples/prot.yaml --model boltz2 --use_msa_server --override |
| ``` |
|
|
| Or fetch a single file directly: |
|
|
| ```python |
| from huggingface_hub import hf_hub_download |
| path = hf_hub_download("moritztng/boltz-2", "boltz2_conf.ckpt") |
| ``` |
|
|
| ## Credit & license |
|
|
| Boltz-2 is developed by Jeremy Wohlwend, Gabriele Corso, Saro Passaro and the |
| Boltz authors (MIT Jameel Clinic) and released under the MIT License. The |
| weights and the accompanying `LICENSE` are redistributed here unmodified under |
| those same terms. See the upstream project at |
| <https://github.com/jwohlwend/boltz> and please cite the Boltz-2 work if you |
| use these weights. |
|
|
