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sergiopaniego 
posted an update about 6 hours ago
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42
TRL now includes agent training support for GRPO‼️

Train 🕵️ agents with 🔧 tools, enabling interaction with external functions and APIs.

And of course, a new notebook and scripts to get you up to speed

📘 notebook tutorial: https://github.com/huggingface/trl/blob/main/examples/notebooks/grpo_agent.ipynb

📂 script examples: https://github.com/huggingface/trl/blob/main/examples/scripts/grpo_agent.py

📦 TRL v0.26.0 release: https://github.com/huggingface/trl/releases/tag/v0.26.0
sergiopaniego 
posted an update 1 day ago
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1402
ICYMI, you can fine-tune open LLMs using Claude Code

just tell it:
“Fine-tune Qwen3-0.6B on open-r1/codeforces-cots”

and Claude submits a real training job on HF GPUs using TRL.

it handles everything:
> dataset validation
> GPU selection
> training + Trackio monitoring
> job submission + cost estimation
when it’s done, your model is on the Hub, ready to use

read more about the process: https://huggingface.co/blog/hf-skills-training
sergiopaniego 
posted an update 1 day ago
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1355
We just released TRL v0.26.0!

It comes packed with updates:
> Agent training with tools in GRPO
> New CISPO & SAPO losses + reasoning rewards
> vLLM quantization in colocate mode
> Dataset shuffling in SFT
> Lots of NEW examples
> Tons of fixes and documentation improvements

  • 3 replies
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sergiopaniego 
posted an update 2 days ago
sergiopaniego 
posted an update 6 days ago
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2778
Want to get started with fine-tuning but don’t know where to begin? 🤓☝️

We’re expanding our collection of beginner-friendly free Colab notebooks so you can learn and fine-tune models using TRL at no cost

🔬 Check out the full list of free notebooks: https://huggingface.co/docs/trl/main/en/example_overview#notebooks

🔬 If you want more advanced content, we also have a lot to cover in the community tutorials: https://huggingface.co/docs/trl/community_tutorials

And now the obvious question: what would you like us to add next?
sergiopaniego 
posted an update 8 days ago
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2320
NEW: @mistralai released a fantastic family of multimodal models, Ministral 3.

You can fine-tune them for free on Colab using TRL ⚡️, supporting both SFT and GRPO

Link to the notebooks:
- SFT: https://colab.research.google.com/github/huggingface/trl/blob/main/examples/notebooks/sft_ministral3_vl.ipynb
- GRPO: https://colab.research.google.com/github/huggingface/trl/blob/main/examples/notebooks/grpo_ministral3_vl.ipynb
- TRL and more examples: https://huggingface.co/docs/trl/index
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sergiopaniego 
posted an update 10 days ago
sergiopaniego 
posted an update 10 days ago
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3080
want to use open models easily through an API?

Inference Providers might be exactly what you’re looking for sooo here’s a complete beginner-friendly walkthrough 🧐

https://www.youtube.com/watch?v=oxwsizy1Spw
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sergiopaniego 
posted an update 14 days ago
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1728
nanochat is now in transformers!

The LLM by @karpathy is officially in the library, and we wrote a blog covering: how did we port the model, differences from the original, and how to run or train it.

go read it 🤓

nanochat-students/transformers
sergiopaniego 
posted an update 16 days ago
sergiopaniego 
posted an update 17 days ago