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fairseq2.bsky.social
fairseq2
@fairseq2.bsky.social
FAIR Sequence Modeling Toolkit 2
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👋 Hello world! We’re thrilled to announce the v0.4 release of fairseq2 — an open-source library from FAIR powering many projects at Meta. pip install fairseq2 and explore our trainer API, instruction & preference finetuning (up to 70B), and native vLLM integration.
Reposted by fairseq2
In line with FAIR mission, we open source Seamless Interaction Dataset to the community in order to accelerate the field. Download on github github.com/facebookrese... and @hf.co huggingface.co/datasets/fac...
GitHub - facebookresearch/seamless_interaction: Foundation Models and Data for Human-Human and Human-AI interactions.
Foundation Models and Data for Human-Human and Human-AI interactions. - facebookresearch/seamless_interaction
github.com
June 27, 2025 at 6:16 PM
[1/4] 🛠️ FAIRSeq2 – your go-to tool for reliable benchmarking and diagnosing infra issues! With native logging of metrics, monitor training performance in real-time and ensure great visibility. #AI #MachineLearning #fairseq2
June 17, 2025 at 11:01 AM
🚀 Transform your LLM post-training with fairseq2! We make complex post-training into a breeze, so that you can make fairseq2 your paper machine!

Feel free to check our tutorials out:
- SFT: facebookresearch.github.io/fairseq2/sta...
- DPO: facebookresearch.github.io/fairseq2/sta...
March 10, 2025 at 2:41 PM
Reposted by fairseq2
This project was made feasible by the excellent open-source LLM training library @fairseq2.bsky.social; I highly recommend giving it a look! It made both SFT and DPO a piece of cake 🍰
🧵 Adapting your LLM for new tasks is dangerous! A bad training set degrades models by encouraging hallucinations and other misbehavior. Our paper remedies this for RAG training by replacing gold responses with self-generated demonstrations. Check it out here: https://arxiv.org/abs/2502.10
February 25, 2025 at 9:58 PM
🚀 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...
End-to-End Fine-Tuning - fairseq2 DocumentationContentsMenuExpandLight modeDark modeAuto light/dark, in light modeAuto light/dark, in dark mode
facebookresearch.github.io
February 19, 2025 at 9:19 AM
🖼️ 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!
February 14, 2025 at 10:18 AM
👋 Hello world! We’re thrilled to announce the v0.4 release of fairseq2 — an open-source library from FAIR powering many projects at Meta. pip install fairseq2 and explore our trainer API, instruction & preference finetuning (up to 70B), and native vLLM integration.
February 12, 2025 at 12:31 PM