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Chai

Chai Discovery
open weights / Overall score: 2.0

Chai-1 is Chai Discovery's multi-modal model for molecular structure prediction, giving unified predictions over proteins, small molecules, DNA, RNA, glycosylations and modified residues. It runs from a FASTA file with optional MSAs and templates, and uniquely accepts user-specified experimental restraints, inter-chain contacts and covalent bonds at several resolutions, to guide the folding of a complex.

The repository LICENSE is Apache-2.0 and the README extends that grant to the model weights in as many words, so the weights license is stated rather than inferred from the code license. Verified 2026-09-10 via the GitHub API, the README, and the LICENSE body.

Openness

3 high confidence
3.0
weights
open(downloaded automatically by the chai-lab package and covered by the repository's Apache-2.0 grant)
data
closed(training data not released
code
partial(inference CLI and feature-context API
license
Apache-2.0(OSI)

The repository license is Apache-2.0, which on its own would say nothing about the weights, and the check that matters here is that the README extends the same grant to them in as many words. Chai-1 is therefore commercially usable weights on a closed corpus, which is the category's centre of gravity.

Adoption

2 medium confidence
2.0

Weights ship through the package rather than the Hub, so there is no download count to band; 1,993 GitHub stars are the last-resort signal.

Capability

2 high confidence
2.0

One attribute. Restraints are the genuinely distinctive input here and they count toward the same one - they widen what can be fed in, not what the model can be turned into, and the five sample predictions the CLI emits are samples of a prediction rather than generated designs.

Verified 2026-09-10