facebookresearch / fairseq2
FAIR Sequence Modeling Toolkit 2
Why this job: works in the areas we cover, but does not say which job it does
What it does
- First-party recipes for language model instruction finetuning and preference optimization
- Multi-GPU, multi-node training using DDP, FSDP, and tensor parallelism. Supports 70B+ models.
- Native support for vLLM along with built-in sampling and beam search sequence generators
- Extensible with setuptools extension mechanism. Easily register new models, optimizers, lr schedulers, trainer units without forking/branching the library.
- Modern PyTorch tooling. Uses composability (i.e. torch.compile), PyTorch FSDP, and other relevant features
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 months ago
- Stars
- 1,154
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.8.1
- Released 7 months ago
- Built with
- Python
- 87% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 50% closed
- 111 still open
- Pull requests
- 1,172 merged
- 41 waiting
- Releases
- 12
- 2 in the last year
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More: languages, topics and project record
Languages
- Python 87%
- C++ 12%
- CMake 1%
- TeX <1%
Topics
- artificial-intelligence
- deep-learning
- machine-learning
- python
- pytorch
Project record
- JobOther AI tools
- StatusListed
- Commits1,460
- Forks148
- Watching26
- Stars in 28 days+3
- CreatedDec 22, 2022
- First seen by usNov 7, 2026
- CheckedNov 8, 2026