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We finally shipped TRL v1.0!!
stable APIs, broad integrations, and a design built to absorb whatever the field throws at it next. Let's go!
hf.co/blog/trl-v1
Quentin Gallouédec
1,111 posts
Quentin Gallouédec
@QGallouedec
Joined May 2019
- Last moments of closed-source AI 🪦 : Hugging Face is openly reproducing the pipeline of 🐳 DeepSeek-R1. Open data, open training. open models, open collaboration. 🫵 Let's go!
- ☄️ GRPO now scales to 70B+ models with multi-node training and super-fast performance. Install the latest v0.16 version of TRL pip install trl With all these the freshest features and optimizations that we've added, you can train up to 60 times faster! More details in the
- Train an agent with GRPO? Yes, it works! I've made a small demo example if you're interested!
- One week into Open-R1, our project to replicate its training pipeline and synthetic data. A thread 🧵 (0/13) More details here:
- 🆕 Introducing JAT, the first open-source multi-modal, multi-task multi-domain agent! 🤖 A step toward open generalist agents! 🚀 📰 Blog: huggingface.co/blog/jat
00:00 - 🪂 Getting GRPO Done Right (Dr GRPO) is now in TRL @zzlccc proved that scaling by the std introduces question-level difficulty bias! You can now remove this bias 🗑️
- GRPO x Curriculum learning 😳 The only difference is that I sorted the dataset (math questions) by difficulty. Do you agree that it's the kind of curve you'd expect? But the most interesting question is, does it give better results? Answer in the thread 🧵 (0/n)
- Replying to @_ma_thusal_emSFR, 200% Ce que vous voyez est une fibre cassée par le technicien, mais c’est au client de payer la réparation
- 🚨 Big news! We decided that @huggingface’s post-training library, TRL, will natively supports training Vision Language Models 🖼️ This builds on our recent VLM support in SFTTrainer — and we’re not stopping until TRL is the #1 VLM training library 🥇 More here 👉
- 🤹♀️ GRPO Trainer in TRL now handles mixed objectives! Simply return `None` if the reward function doesn’t apply to the sample. More in the documentation! Kudos to Shirin for contributing this feature to TRL.
- 📢 TRL 0.20 drops: Fine-tune your VLM with GRPO! And it also includes GSPO. So basically, fine-tune your VLM with GSPO.
- Merry Christmas 🎁 GSPO is in TRL. Looking forward to see your reward curves 📈
