On the Shifting Global Compute Landscape
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sayakpaul
updated
a
dataset
about 4 hours ago
alvarobartt
updated
a
dataset
about 5 hours ago
nielsr
updated
a
Space
about 8 hours ago
lysandre
updated
a
dataset
about 9 hours ago
sergiopaniego
posted
an
update
about 19 hours ago
Post
205
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?
Post
1074
I'm excited to share that https://installama.sh is up and running! 🚀
On Linux / macOS / FreeBSD it is easier than ever:
And Windows just joined the party 🥳
Stay tuned for new backends on Windows!
On Linux / macOS / FreeBSD it is easier than ever:
curl https://installama.sh | shAnd Windows just joined the party 🥳
irm https://installama.sh | iexStay tuned for new backends on Windows!
sergiopaniego
posted
an
update
2 days ago
Post
2159
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
-
- 2 replies
sergiopaniego
posted
an
update
4 days ago
Post
2078
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
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
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
Post
346
🚀
The fastest way to install and run
We are expanding hardware and OS support to make local AI even more accessible. This includes:
🌋 Vulkan support for Linux on
😈 FreeBSD support (CPU backend) on
✨ Lots of small optimizations and improvements under the hood.
Give it a try right now:
installama.sh update: Vulkan & FreeBSD support added!The fastest way to install and run
llama.cpp has just been updated!We are expanding hardware and OS support to make local AI even more accessible. This includes:
🌋 Vulkan support for Linux on
x86_64 and aarch64.😈 FreeBSD support (CPU backend) on
x86_64 and aarch64 too.✨ Lots of small optimizations and improvements under the hood.
Give it a try right now:
curl angt.github.io/installama.sh | MODEL=unsloth/Qwen3-4B-GGUF:Q4_0 sh
sergiopaniego
posted
an
update
9 days ago
Post
1680
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
10 days ago
Post
3920
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
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
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
Steveeeeeeen
authored
2
papers
15 days ago
Post
1943
One command line is all you need...
...to launch a local llama.cpp server on any Linux box or any Metal-powered Mac 🚀
Learn more: https://github.com/angt/installama.sh
...to launch a local llama.cpp server on any Linux box or any Metal-powered Mac 🚀
curl angt.github.io/installama.sh | MODEL=unsloth/gpt-oss-20b-GGUF shLearn more: https://github.com/angt/installama.sh
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
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
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
Post
1139
🚀🚀🚀Huge biotech data drop today🚀🚀🚀
The largest drug-target dataset ever created was just released on Hugging Face—and it's still growing...
EvE Bio is further updating the dataset every 8 weeks. Drug development dream.
Read the blog: https://huggingface.co/blog/hugging-science/eve-bio-mapping-the-pharmone-drug-interaction
Play with the data: eve-bio/drug-target-activity
The largest drug-target dataset ever created was just released on Hugging Face—and it's still growing...
EvE Bio is further updating the dataset every 8 weeks. Drug development dream.
Read the blog: https://huggingface.co/blog/hugging-science/eve-bio-mapping-the-pharmone-drug-interaction
Play with the data: eve-bio/drug-target-activity
sergiopaniego
posted
an
update
19 days ago
