New features, performance improvements and bug fixes by release.
BioNeMo Framework v1.6
New Features
- [Inference]
model.freeze_layers
inference config parameter added to freeze a specified number of layers. - [ESM2] Loading pre-trained ESM2 weights and continue pre-training on the MLM objective on a custom FASTA dataset is now supported.
- [OpenFold] MLPerf feature 3.2 bug (mha_fused_gemm) fix has merged.
- [OpenFold] MLPerf feature 3.10 integrated into bionemo framework.
- [DiffDock] Updated data loading module for DiffDock model training, changing from sqlite3 backend to webdataset.
Check out more in documentation