Instructions to use moritztng/boltzgen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- BoltzGen
How to use moritztng/boltzgen with BoltzGen:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| license: mit | |
| library_name: tt-bio | |
| tags: | |
| - biology | |
| - protein-design | |
| - binder-design | |
| - inverse-folding | |
| - boltzgen | |
| - tenstorrent | |
| # BoltzGen weights (tt-bio mirror) | |
| Mirror of the [BoltzGen](https://github.com/HannesStark/boltzgen) binder-design | |
| weights (plus the Boltz-2 folding/affinity checkpoints the design pipeline | |
| depends on), 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 releases; this repo 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 | | |
| |------|-------------| | |
| | `boltzgen1_diverse.ckpt` | BoltzGen design model — diverse protocol | | |
| | `boltzgen1_adherence.ckpt` | BoltzGen design model — adherence protocol | | |
| | `boltzgen1_ifold.ckpt` | BoltzGen inverse-folding (sequence design) model | | |
| | `boltz2_conf_final.ckpt` | Boltz-2 structure model used for the folding step | | |
| | `boltz2_aff.ckpt` | Boltz-2 affinity model used for the affinity step | | |
| | `mols.zip` | CCD molecule / component library | | |
| > Note: `boltz2_aff.ckpt` here is the checkpoint shipped with the BoltzGen | |
| > pipeline and differs from the one in [`moritztng/boltz-2`](https://huggingface.co/moritztng/boltz-2). | |
| ## Usage | |
| tt-bio downloads these automatically when you run a design: | |
| ```bash | |
| tt-bio gen run examples/design.yaml --output out/ | |
| ``` | |
| Or fetch a single file directly: | |
| ```python | |
| from huggingface_hub import hf_hub_download | |
| path = hf_hub_download("moritztng/boltzgen", "boltzgen1_diverse.ckpt") | |
| ``` | |
| ## Credit & license | |
| BoltzGen is developed by Hannes Stärk and the BoltzGen authors and released | |
| under the MIT License (<https://github.com/HannesStark/boltzgen>). The bundled | |
| `boltz2_conf_final.ckpt` and `boltz2_aff.ckpt` are Boltz-2 weights by Jeremy | |
| Wohlwend, Gabriele Corso, Saro Passaro and the Boltz authors, also MIT | |
| (<https://github.com/jwohlwend/boltz>). All weights and the accompanying | |
| `LICENSE` are redistributed here unmodified under those terms. Please cite | |
| BoltzGen and Boltz if you use these weights. | |