jfold converted models
Released structure prediction models converted to jfold (JAX / Equinox), with each model's upstream sampler settings attached.
from jfold import pretrained
model = pretrained.load("boltz2") # downloads boltz2/ from this repository on first use
Each model is a directory <name>/ with two files, written by jfold.io.save:
weights.safetensors: every array, keyed by its path in the model (readable with numpy alone).model.json: the format version, the model's structure (class names, fields, plain values, array shapes and dtypes) and provenance metadata: the upstream source, the SHA-256 of the converted checkpoint, the upstream package version and the conversion date.
The ESMFold2 models share their language models, stored once each (esmc_6b,
esmc_300m, esmc_600m) and attached by pretrained.load; the experimental type uses
them rounded to bfloat16, as upstream runs it. The scaling-sweep checkpoints are its final
step (1500k), whose ESMCs are the final ESMC weights. AtlasFold and AtlasFold-M share
AtlasLM-3B the same way (atlaslm_3b).
Every conversion is checked against the upstream PyTorch model by jfold's checkpoint tests.
Models
| Name | Upstream | Source | License | Size |
|---|---|---|---|---|
boltz2 |
Boltz-2 | boltz2_conf.ckpt (boltz) |
MIT | 2.0 GB |
protenix_tiny |
Protenix | protenix_tiny_default_v0.5.0 |
Apache-2.0 | 0.4 GB |
protenix_mini |
Protenix | protenix_mini_default_v0.5.0 |
Apache-2.0 | 0.5 GB |
protenix_base |
Protenix | protenix_base_default_v1.0.0 |
Apache-2.0 | 1.5 GB |
protenix_base_20250630 |
Protenix | protenix_base_20250630_v1.0.0 |
Apache-2.0 | 1.5 GB |
protenix_v2 |
Protenix | protenix-v2 |
Apache-2.0 | 1.9 GB |
mol1_base |
Mol-1 | molence/Mol-1 mol-1-base |
Apache-2.0 | 2.3 GB |
opendde_v1 |
OpenDDE | opendde.pt |
Apache-2.0 | 2.6 GB |
opendde_abag |
OpenDDE (antibody-antigen) | opendde_abag.pt |
Apache-2.0 | 2.6 GB |
openfold3 |
OpenFold3 | of3-p2-155k.pt, EMA weights |
Apache-2.0 | 1.5 GB |
promera |
ProMERA | bjing-mit/promera promera_2606.ckpt |
MIT | 1.8 GB |
bioemu2 |
BioEmu2 | microsoft/bioemu2 bioemu2-preview |
MIT | 2.1 GB |
esmfold2 |
ESMFold2 | biohub/ESMFold2 |
MIT | 0.9 GB |
esmfold2_fast |
ESMFold2 | biohub/ESMFold2-Fast |
MIT | 0.8 GB |
esmfold2_experimental |
ESMFold2 (experimental) | biohub/ESMFold2-Experimental |
MIT | 0.9 GB |
esmfold2_experimental_fast |
ESMFold2 (experimental) | biohub/ESMFold2-Experimental-Fast |
MIT | 0.7 GB |
esmfold2_experimental_cutoff2025 |
ESMFold2 (experimental) | biohub/ESMFold2-Experimental-Cutoff2025 |
MIT | 0.9 GB |
esmfold2_experimental_fast_cutoff2025 |
ESMFold2 (experimental) | biohub/ESMFold2-Experimental-Fast-Cutoff2025 |
MIT | 0.7 GB |
esmfold2_experimental_fast_base300m |
ESMFold2 scaling sweep, ESMC-300M | biohub/ESMFold2-Experimental-Fast-base300M-step1500k |
MIT | 0.7 GB |
esmfold2_experimental_fast_base600m |
ESMFold2 scaling sweep, ESMC-600M | biohub/ESMFold2-Experimental-Fast-base600M-step1500k |
MIT | 0.7 GB |
esmfold2_experimental_fast_base6b |
ESMFold2 scaling sweep, ESMC-6B | biohub/ESMFold2-Experimental-Fast-base6B-step1500k |
MIT | 0.7 GB |
esmfold2_experimental_fast_base300m_confidence |
ESMFold2 scaling sweep, ESMC-300M, with a confidence head (FastPLMs) | biohub/ESMFold2-Experimental-Fast-base300M-step1500k + the head of Synthyra/ESMFold2-300 |
MIT | 0.7 GB |
esmfold2_experimental_fast_base600m_confidence |
ESMFold2 scaling sweep, ESMC-600M, with a confidence head (FastPLMs) | biohub/ESMFold2-Experimental-Fast-base600M-step1500k + the head of Synthyra/ESMFold2-600 |
MIT | 0.7 GB |
esmc_6b |
ESMC-6B (float32) | the ESMC in biohub/ESMFold2 |
MIT | 25.4 GB |
esmc_300m |
ESMC-300M (bfloat16 values) | the ESMC of the base300M scaling checkpoint | MIT | ~1.3 GB |
esmc_600m |
ESMC-600M (bfloat16 values) | the ESMC of the base600M scaling checkpoint | MIT | ~2.3 GB |
esmc_300m_mlm |
ESMC-300M with its masked-LM head (float32) | Biohub/ESMC-300M |
MIT | 1.3 GB |
esmc_600m_mlm |
ESMC-600M with its masked-LM head (float32) | Biohub/ESMC-600M |
MIT | 2.3 GB |
esmc_6b_mlm |
ESMC-6B's masked-LM head; its backbone is esmc_6b |
Biohub/ESMC-6B |
MIT | 27 MB |
atlasfold |
AtlasFold (monomers) | SeonghwanSeo/atlasfold-260703 |
MIT | 0.9 GB |
atlasfold_m |
AtlasFold-M (complexes) | SeonghwanSeo/atlasfold-m-260725 |
MIT | 0.9 GB |
atlaslm_3b |
AtlasLM-3B (bfloat16 values, float32) | SeonghwanSeo/atlaslm-3b-base |
MIT | 12.2 GB |
The weights keep their upstream licenses. Each <name>/ carries its upstream LICENSE and a NOTICE stating the conversion (arrays re-laid out and re-saved; values unchanged).