Can Balioglu

🚀 Big news for LLM researchers! #fairseq2 now has native support in #vLLM. Deploy your fine-tuned language models with vLLM in just one command for lightning-fast performance. Ready to accelerate your research like in FAIR? Check this out: facebookresearch.github.io/fairseq2/sta...

🖼️ A gallery of open-source projects and papers powered by #fairseq2! 🚀

Seamless Communication and Large Concept Models are 2 vivid examples that showcase the potential of what we are building.

More exciting FAIR research built on fairseq2 is on the way!

fairseq2/src/fairseq2/models at main · facebookresearch/fairseq2 FAIR Sequence Modeling Toolkit 2. Contribute to facebookresearch/fairseq2 development by creating an account on GitHub.

We also have a pretty packed roadmap for 2025 and the list of our supported models might give you a clue about what is coming soon:
github.com/facebookrese...

Excited to announce our first "true" release of fairseq2! In v0.4, our main focus has been language model finetuning, preference optimization for scales up to 70B. These recipes are already widely used by many FAIR researchers and can easily be extended with new loss algorithms.