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Boltz v0.3.0: Confidence model, low memory mode & custom MSA pairing
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@jwohlwend jwohlwend released this 28 Nov 15:25
· 32 commits to main since this release
v0.3.0
2ae8d3a

New features

  • We've added our confidence model, which can be used to rank multiple samples (as controlled by the --diffusion_samples flag). It dumps a json file with aggregate metrics as well as full PAE / PDE matrices on demand using --write_full_pae and --write_full_pde.
  • We've added a chunking feature to lower memory requirements, it kicks in automatically after 512 tokens for little to no slowdown
  • We now have a custom MSA pairing format using a CSV with sequence and key columns
  • MSA server parameters are now surfaced to the user (thanks @YoelShoshan)

Bug fixes

  • Fixed an issue with shallow MSA's on multimers when using the msa server
  • Improved error messaging in a few places

Contributors

YoelShoshan
Assets 2
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