Releases: IntelliGen-AI/IntelliFold
Releases · IntelliGen-AI/IntelliFold
v2.0.4
v2.0.3 — IntelliFold-v2 on the AlphaFold 3 JAX engine
IntelliFold-v2 now runs on the AlphaFold 3 JAX engine for much faster inference — enabled by AF3's Apache-2.0 relicense in v3.0.3.
# if you already have alphafold3; otherwise build the vendored AF3 first (see README)
pip install intellifold
wget https://huggingface.co/intelligenAI/intellifold/resolve/main/fold_input.json
intellifold predict fold_input.json --model-dir=model_v2 --output-dir results -- --norun_data_pipeline- Run IntelliFold-v2 on AF3's JAX stack; batch across all GPUs with
--gpus all. - Weights auto-download from Hugging Face on first run — no PyTorch needed.
- Vendored AF3 v3.0.3 under
third_party/alphafold3/; packaging viapyproject.toml.
v2.0.2
v2.0.2 — Template Support
This release adds template-supported inference.
Key Changes
- Enable template features via
--use_template - Support both online template search and precomputed template inputs in YAML
- Documentation updates with new usage examples
Quick example
intellifold predict ./examples/5S8I_A_wtemplate.yaml --out_dir ./output --use_templateIntelliFold v2.0.0
Release IntelliFold v2.0.0
v0.1.0: IntelliFold Initial Version
Version 0.1.0