roboticslaburjc-org (RoboticsLabURJC)

posted an update about 15 hours ago

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1060

NEW: @EssentialAI just released Rnj-1, their first 8B model.

You can easily fine-tune it with GRPO using TRL to add reasoning capabilities to a compact mode

Free Colab link: https://colab.research.google.com/github/huggingface/trl/blob/main/examples/notebooks/grpo_rnj_1_instruct.ipynb

More free TRL notebooks: https://huggingface.co/docs/trl/main/en/example_overview#notebooks

amglega

updated a dataset 1 day ago

roboticslaburjc-org/CARLA_e2e_autonomous_driving

Preview • Updated 1 day ago • 33 • 1

sergiopaniego

posted an update 5 days ago

Post

2721

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 6 days ago

Post

2293

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

2 replies

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sergiopaniego

posted an update 8 days ago

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2130

ICYMI, transformers v5 is out!

Grab a coffee ☕ and go read the announcement blog https://huggingface.co/blog/transformers-v5

sergiopaniego

posted an update 9 days ago

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3068

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

2 replies

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sergiopaniego

posted an update 12 days ago

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1713

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 14 days ago

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3937

you gotta go fast and go read the latest blog by @ror et al. explaining Continuous Batching in depth

https://huggingface.co/blog/continuous_batching

sergiopaniego

posted an update 16 days ago

Post

1702

Interested in RL training environments?

We just released a beginner-friendly walkthrough notebook!

Train a model to play Wordle using TRL + OpenEnv (TextArena) + GRPO + vLLM.

happy learning! 🌱

Notebook: https://github.com/huggingface/trl/blob/main/examples/notebooks/openenv_wordle_grpo.ipynb

OpenEnv guide in TRL: https://huggingface.co/docs/trl/main/en/openenv

sergiopaniego

posted an update 20 days ago

Post

322

Ya está disponible el vídeo de la charla del otro día en @nerdearla sobre IA abierta, por si queréis verla! 🤠

https://www.youtube.com/watch?v=p-JLn4xAkMw

1 reply

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sergiopaniego

posted an update 20 days ago

Post

2574

we've just added several example scripts to TRL showing how to train models with GRPO using some of the new OpenEnv environments

train a model to interact with a browser (🎮 BrowserGym Env), play Wordle (🎮 Wordle Env) and moooore!

TRL (GRPO + vLLM) + OpenEnv! ⚡️

📝 go play with them: https://github.com/huggingface/trl/tree/main/examples/scripts/openenv

📝 examples list: https://huggingface.co/docs/trl/main/en/example_overview#scripts

sergiopaniego

posted an update 22 days ago

Post

1748

Who wants a TRL sticker? 🙋

https://github.com/huggingface/trl

1 reply

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sergiopaniego

posted an update about 1 month ago

Post

5367

fine-tuning a 14B model with TRL + SFT on a free Colab (T4 GPU)?
thanks to the latest TRL optimizations, you actually can!
sharing a new notebook showing how to do it 😎

colab: https://colab.research.google.com/github/huggingface/trl/blob/main/examples/notebooks/sft_trl_lora_qlora.ipynb

notebooks in TRL: https://github.com/huggingface/trl/tree/main/examples/notebooks

2 replies

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sergiopaniego

posted an update about 1 month ago

Post

448

Gave a smol 🤏 intro to Agents using smolagents last Monday!
Sharing the slides in case you're curious. They serve as a gentle first step into the Agents Course we developed at @huggingface 🫶🫶

Course: https://huggingface.co/learn/agents-course/unit0/introduction

Workshop material: https://github.com/sergiopaniego/talks/tree/main/intro_to_agents

sergiopaniego

posted an update about 1 month ago

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3134

Sharing the slides from yesterday's talk about "Fine Tuning with TRL" from the @TogetherAgent x @huggingface workshop we hosted in our Paris office 🎃!

Link: https://github.com/sergiopaniego/talks/blob/main/fine_tuning_with_trl/Fine%20tuning%20with%20TRL%20(Oct%2025).pdf

sergiopaniego

posted an update about 1 month ago

Post

426

On-Policy distillation is trendy! and super useful!

HuggingFaceH4/on-policy-distillation

sergiopaniego

posted an update about 2 months ago

Post

2908

Meet OpenEnv 👋, an open ecosystem of environments for intelligent agents. Build, share, and test agents safely and consistently.

Ideal for training with TRL (we include examples🤓), deployment, and community collaboration via the HF Hub

Blog: https://huggingface.co/blog/openenv
Hub for Environments:

openenv
OpenEnv repo: https://github.com/meta-pytorch/OpenEnv
Try it out using TRL: https://huggingface.co/docs/trl/main/en/openenv

1 reply

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sergiopaniego

posted an update about 2 months ago

Post

1969

New drop! 💥 The VLM Object Understanding Comparison Space now runs with Qwen3-VL-4B and moondream3.

You can compare how models reason about images 🧠

Bonus: thanks to @ariG23498 , you now get auto-suggested prompts to explore faster.

Let’s gooo

sergiopaniego/vlm_object_understanding

sergiopaniego

posted an update about 2 months ago

Post

916

New drop! 💥 The VLM Object Understanding Comparison Space now runs with Qwen3-VL-4B and moondream3.

You can compare how models reason about images 🧠

Bonus: thanks to @ariG23498 , you now get auto-suggested prompts to explore faster.

Let’s gooo

sergiopaniego/vlm_object_understanding

sergiopaniego

posted an update about 2 months ago

Post

2331

@Qwen released their new small and dense VLMs (Qwen3-VL).

They're incredibly capable and one of my all-time favourite VLMs.

🤗 We’ve prepared some resources to help you get started.

> Fine-tune Qwen3-VL-4B with SFT or GRPO (free Colab notebooks):
> SFT: https://colab.research.google.com/github/huggingface/trl/blob/main/examples/notebooks/sft_qwen_vl.ipynb
> GRPO: https://colab.research.google.com/github/huggingface/trl/blob/main/examples/notebooks/grpo_qwen3_vl.ipynb

> Compare object detection vs. Moondream3:
sergiopaniego/vlm_object_understanding

> Fine-tune from the CLI using TRL:
https://github.com/kashif/Qwen3-VL/blob/trl-sft/qwen-vl-finetune/README.md#trl-based-training-single-gpu

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