Loading…
Model hub
Hugging Face
Open repository for downloading protein, DNA, RNA, single-cell and pathology foundation model weights, with managed inference endpoints alongside.
- Models served
- 262
- Offers
- Weights
- Coverage
- Protein 73Imaging 51Language model 45DNA & Gene 44+7 more
- Deployment
- Free download · managed endpoints
- Pricing
- Free + seat + hourly compute
Models you can download from Hugging Face
Most cited first5.4K4M4.2K
Protein language model family from 8M to 15B parameters, used as a frozen sequence encoder whose representations encode atomic-level structure.
Protein
5.4K1.4M4.2K
Protein structure prediction from a single sequence, with no multiple sequence alignment. Folds a 384-residue protein in 14.2 seconds on one GPU.
Protein
3.1K116.7K632
Sparse attention transformer that extends BERT to 8x longer sequences via random, local, and global attention, with genomic sequence applications.
DNA & Gene
2.5K—1.7K
Variational autoencoder pretrained on 74 million human single-cell transcriptomes from the CELLxGENE Census for batch correction and cell typing.
Single-cell
2K6.6K2.2K
Biomedical vision-language assistant for question answering on radiology and pathology images, adapted from LLaVA on PubMed Central captions.
PathologyLanguage model
How access works
Public repositories require no account: weights are cloned or downloaded directly, and credentials matter only for pushing changes or reading private repositories. Gated repositories are the exception: they require a signed-in account, consent to share username and email with the model's authors, and sometimes manual approval, with scripted downloads needing an access token. Authors can also block EU users by IP, so a public model is not necessarily an available one.
- Self-serve
- Free tier
- Public price list
- API access
- Open weights
- Self-hostable
- SSO / SAML
- SOC 2 Type II
- GDPR DPA
- Region selectable
What it costs
Downloading public weights is free, which for most use of the repository is the whole story. Costs begin with a seat or a machine. Seats are a flat monthly figure, rising per user across team and enterprise plans. Compute is hourly and published per accelerator, from a few cents for a small CPU endpoint to tens of dollars for a multi-GPU node. Storage bills per terabyte per month. Serverless inference carries a small monthly credit allowance, then passes through the provider's own rates.
Last verified
