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Steveeeeeeen authored a paper 15 days ago

Treble10: A high-quality dataset for far-field speech recognition, dereverberation, and enhancement

Steveeeeeeen authored a paper 15 days ago

Open ASR Leaderboard: Towards Reproducible and Transparent Multilingual and Long-Form Speech Recognition Evaluation

burtenshaw authored a paper 2 months ago

A Cartography of Open Collaboration in Open Source AI: Mapping Practices, Motivations, and Governance in 14 Open Large Language Model Projects

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sergiopaniego

posted an update 1 day ago

Post

606

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?

danielhanchen

posted an update 3 days ago

Post

2838

Mistral's new Ministral 3 models can now be Run & Fine-tuned locally! (16GB RAM)
Ministral 3 have vision support and the best-in-class performance for their sizes.
14B Instruct GGUF: unsloth/Ministral-3-14B-Instruct-2512-GGUF
14B Reasoning GGUF: unsloth/Ministral-3-14B-Reasoning-2512-GGUF

🐱 Step-by-step Guide: https://docs.unsloth.ai/new/ministral-3
All GGUFs, BnB, FP8 etc. variants uploads: https://huggingface.co/collections/unsloth/ministral-3

2 replies

sergiopaniego

posted an update 3 days ago

Post

2188

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

sergiopaniego

posted an update 4 days ago

Post

2079

ICYMI, transformers v5 is out!

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

sergiopaniego

posted an update 5 days ago

Post

3039

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

danielhanchen

posted an update 8 days ago

Post

8135

Qwen3-Next can now be Run locally! (30GB RAM)
Instruct GGUF: unsloth/Qwen3-Next-80B-A3B-Instruct-GGUF

The models come in Thinking and Instruct versions and utilize a new architecture, allowing it to have ~10x faster inference than Qwen32B.
💜 Step-by-step Guide: https://docs.unsloth.ai/models/qwen3-next

Thinking GGUF: unsloth/Qwen3-Next-80B-A3B-Thinking-GGUF

sergiopaniego

posted an update 9 days ago

Post

1682

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 11 days ago

Post

3922

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 12 days ago

Post

1693

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 16 days ago

Post

315

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

sergiopaniego

posted an update 17 days ago

Post

2568

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 19 days ago

Post

1742

Who wants a TRL sticker? 🙋

https://github.com/huggingface/trl

1 reply

danielhanchen

posted an update 28 days ago

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4148

You can now run Kimi K2 Thinking locally with our Dynamic 1-bit GGUFs: unsloth/Kimi-K2-Thinking-GGUF

We shrank the 1T model to 245GB (-62%) & retained ~85% of accuracy on Aider Polyglot. Run on >247GB RAM for fast inference.

We also collaborated with the Moonshot AI Kimi team on a system prompt fix! 🥰

Guide + fix details: https://docs.unsloth.ai/models/kimi-k2-thinking-how-to-run-locally

sergiopaniego

posted an update about 1 month ago

Post

5360

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

sergiopaniego

posted an update about 1 month ago

Post

444

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

Post

3129

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

423

On-Policy distillation is trendy! and super useful!

HuggingFaceH4/on-policy-distillation

sergiopaniego

posted an update about 1 month ago

Post

2901

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

tomaarsen

posted an update about 2 months ago

Post

4119

🤗 Sentence Transformers is joining Hugging Face! 🤗 This formalizes the existing maintenance structure, as I've personally led the project for the past two years on behalf of Hugging Face! Details:

Today, the Ubiquitous Knowledge Processing (UKP) Lab is transferring the project to Hugging Face. Sentence Transformers will remain a community-driven, open-source project, with the same open-source license (Apache 2.0) as before. Contributions from researchers, developers, and enthusiasts are welcome and encouraged. The project will continue to prioritize transparency, collaboration, and broad accessibility.

Read our full announcement for more details and quotes from UKP and Hugging Face leadership: https://huggingface.co/blog/sentence-transformers-joins-hf

We see an increasing wish from companies to move from large LLM APIs to local models for better control and privacy, reflected in the library's growth: in just the last 30 days, Sentence Transformer models have been downloaded >270 million times, second only to transformers.

I would like to thank the UKP Lab, and especially Nils Reimers and Iryna Gurevych, both for their dedication to the project and for their trust in myself, both now and two years ago. Back then, neither of you knew me well, yet you trusted me to take the project to new heights. That choice ended up being very valuable for the embedding & Information Retrieval community, and I think this choice of granting Hugging Face stewardship will be similarly successful.

I'm very excited about the future of the project, and for the world of embeddings and retrieval at large!

1 reply

ariG23498

authored a paper about 2 months ago

FineVision: Open Data Is All You Need

Paper • 2510.17269 • Published Oct 20 • 68

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