huggingface-projects/Deep-RL-Course-Certification
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sergiopaniego
updated
a
dataset
about 3 hours ago
sergiopaniego
posted
an
update
about 20 hours ago
Post
900
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
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
Post
874
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
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
akhaliq
submitted
a
paper
to Daily Papers
1 day ago
sergiopaniego
posted
an
update
2 days ago
Post
2719
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
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
pcuenq
updated
a
dataset
6 days ago
sergiopaniego
posted
an
update
6 days ago
Post
2770
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?
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
Post
2314
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
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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- 2 replies
sergiopaniego
posted
an
update
9 days ago
Post
2141
ICYMI, transformers v5 is out!
Grab a coffee ☕ and go read the announcement blog https://huggingface.co/blog/transformers-v5
Grab a coffee ☕ and go read the announcement blog https://huggingface.co/blog/transformers-v5
sergiopaniego
posted
an
update
10 days ago
Post
3077
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
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
sergiopaniego
posted
an
update
14 days ago
Post
1725
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
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
Post
3945
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
https://huggingface.co/blog/continuous_batching
sergiopaniego
posted
an
update
17 days ago
Post
1711
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
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
21 days ago
Post
328
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
https://www.youtube.com/watch?v=p-JLn4xAkMw
- 1 reply
sergiopaniego
posted
an
update
22 days ago
Post
2581
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
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
24 days ago
Post
672
The #1 trending AI/ML dataset today 🏆
Massive scale, diversity and end-to-end potential from nvidia !
nvidia/PhysicalAI-Autonomous-Vehicles
Massive scale, diversity and end-to-end potential from nvidia !
nvidia/PhysicalAI-Autonomous-Vehicles
Post
511
The new King 👑has arrived!
Moonshot AI now the top model on Hugging Face 🔥
moonshotai/Kimi-K2-Thinking
Moonshot AI now the top model on Hugging Face 🔥
moonshotai/Kimi-K2-Thinking
Post
2677
💸🤑You don’t need 100 GPUs to train something amazing!
Our Smol Training Playbook teaches you a better path to world-class LLMs, for free!
Check out the #1 trending space on 🤗 :
HuggingFaceTB/smol-training-playbook
Our Smol Training Playbook teaches you a better path to world-class LLMs, for free!
Check out the #1 trending space on 🤗 :
HuggingFaceTB/smol-training-playbook
Post
3254
Kimi K2 Thinking is now live on the hub 🔥
moonshotai/Kimi-K2-Thinking
✨ 1T MoE for deep reasoning & tool use
✨ Native INT4 quantization = 2× faster inference
✨ 256K context window
✨ Modified MIT license
moonshotai/Kimi-K2-Thinking
✨ 1T MoE for deep reasoning & tool use
✨ Native INT4 quantization = 2× faster inference
✨ 256K context window
✨ Modified MIT license