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moritztng/boltz-2

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Boltz-2 weights (tt-bio mirror)

Mirror of the Boltz-2 structure- and affinity-prediction weights, packaged for use with 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.