Download Latest Version Update to OpenFold to support Pytorch 2 and CUDA 12 source code.tar.gz (13.5 MB)
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Home / v2.0.0
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README.md 2024-02-08 7.7 kB
v2.0.0 source code.tar.gz 2024-02-08 10.5 MB
v2.0.0 source code.zip 2024-02-08 10.6 MB
Totals: 3 Items   21.2 MB 1

Major Changes

  • SoloSeq inference: Single Sequence Inference using ESM-1b embeddings with template features is now supported. Check out SoloSeq in the README for more information.
  • Multimer : Inference in multimer mode using the AlphaFold-Multimer weights is now supported. Check out Multimer in the README for more instructions, or try out multimer inference in the Colab notebook.
  • Addition of a custom DeepSpeed DS4Sci_EvoformerAttention kernel for 13X reduced peak device memory requirement, leading to 15% faster training and 4x speedup during inference. Test it out using the use_deepspeed_evo_attention option in openfold/config.py. More information in the README.

All Changes

New Contributors

Full Changelog: https://github.com/aqlaboratory/openfold/compare/v1.0.1...v2.0.0

Source: README.md, updated 2024-02-08