Reasoning Cache: Continual Improvement Over Long Horizons via Short-Horizon RL
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lewtun
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about 11 hours ago
burtenshaw
updated
a
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4 days ago
sergiopaniego
posted
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update
4 days ago
Post
326
if you're looking for a good first issue to get your open-source journey started, you could contribute to this TRL issue by documenting one impactful paper in the docs
we have a broad list to cover!! 🧐
https://github.com/huggingface/trl/issues/4407
we have a broad list to cover!! 🧐
https://github.com/huggingface/trl/issues/4407
burtenshaw
updated
5
Spaces
7 days ago
TextArena Environment Server
🎮
Interact with an environment via text messages
BrowserGym Environment Server
🌐
1
Control a simulated environment via text actions
REPL Environment Server
🎮
Execute Python actions and monitor environment state
Echo Environment Server
🔊
Interact with an OpenEnv environment via web UI
TB2 Environment Server
🧪
Control and monitor AI agent environments through web interface
burtenshaw
updated
a
Space
8 days ago
sergiopaniego
posted
an
update
15 days ago
Post
441
Meet the Post-Training Toolkit (PTT), which easily integrates with TRL via a single callback, by Aditya Challapally (
@microsoft
):
🔍 Detects training issues early
🛠 Lets you intervene safely
📊 Keeps long training runs stable, auditable & efficient
Microsoft blog: https://devblogs.microsoft.com/engineering-at-microsoft/diagnosing-instability-in-production-scale-agent-rl/
Integration guide: https://huggingface.co/docs/trl/main/en/ptt_integration
Code: https://github.com/microsoft/post-training-toolkit
🔍 Detects training issues early
🛠 Lets you intervene safely
📊 Keeps long training runs stable, auditable & efficient
Microsoft blog: https://devblogs.microsoft.com/engineering-at-microsoft/diagnosing-instability-in-production-scale-agent-rl/
Integration guide: https://huggingface.co/docs/trl/main/en/ptt_integration
Code: https://github.com/microsoft/post-training-toolkit
sergiopaniego
posted
an
update
15 days ago
Post
2531
New TRL + OpenEnv example! 💥
Fine tune an LLM for playing Sudoku using an RL env via OpenEnv
Includes a script that runs on 1 or multiple GPUs with vLLM, plus a Colab-ready notebook.
Enjoy!
Notebook: https://colab.research.google.com/github/huggingface/trl/blob/main/examples/notebooks/openenv_sudoku_grpo.ipynb
Script: https://github.com/huggingface/trl/blob/main/examples/scripts/openenv/sudoku.py
Fine tune an LLM for playing Sudoku using an RL env via OpenEnv
Includes a script that runs on 1 or multiple GPUs with vLLM, plus a Colab-ready notebook.
Enjoy!
Notebook: https://colab.research.google.com/github/huggingface/trl/blob/main/examples/notebooks/openenv_sudoku_grpo.ipynb
Script: https://github.com/huggingface/trl/blob/main/examples/scripts/openenv/sudoku.py
- 1 reply
sergiopaniego
posted
an
update
17 days ago
Post
2146
Date idea: read the entire Transformers v5.0.0 release notes
Officially stable now: https://github.com/huggingface/transformers/releases/tag/v5.0.0
Officially stable now: https://github.com/huggingface/transformers/releases/tag/v5.0.0
- 1 reply
sergiopaniego
updated
a
collection
23 days ago
sergiopaniego
posted
an
update
24 days ago
Post
1613
FunctionGemma Tuning Lab is a new no-code tool by
@google
that lets you fine-tune a model directly from the browser, with no coding knowledge required, using TRL behind the scenes.
blog: https://developers.googleblog.com/a-guide-to-fine-tuning-functiongemma/
try it out: google/functiongemma-tuning-lab
This example builds on a more advanced one for learning fine-tuning with SFT using TRL: https://ai.google.dev/gemma/docs/functiongemma/finetuning-with-functiongemma
blog: https://developers.googleblog.com/a-guide-to-fine-tuning-functiongemma/
try it out: google/functiongemma-tuning-lab
This example builds on a more advanced one for learning fine-tuning with SFT using TRL: https://ai.google.dev/gemma/docs/functiongemma/finetuning-with-functiongemma
- 1 reply
sergiopaniego
posted
an
update
27 days ago
Post
818
TRL v0.27.0 is out!! 🥳
It includes GDPO, the latest variant of GRPO for multi-reward RL ✨
GDPO decouples reward normalization to avoid reward collapse and improve per-reward convergence — developed by
@sliuau @SimonX et al.
Explore the paper: GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization (2601.05242)
Explore the full set of changes here:
https://github.com/huggingface/trl/releases/tag/v0.27.0
It includes GDPO, the latest variant of GRPO for multi-reward RL ✨
GDPO decouples reward normalization to avoid reward collapse and improve per-reward convergence — developed by
@sliuau @SimonX et al.
Explore the paper: GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization (2601.05242)
Explore the full set of changes here:
https://github.com/huggingface/trl/releases/tag/v0.27.0
sergiopaniego
updated
a
collection
about 1 month ago
sergiopaniego
posted
an
update
about 1 month ago
Post
3016
New REPL environment in OpenEnv available! ✨
Used in the Recursive Language Models (RLM) paper by Alex Zhang.
Ready for inference & post-training using trajectories. Handles long contexts:
> Run Python code in a sandbox
> Make recursive calls to LMs
> Explore data programmatically
> Return final result
Docs: https://meta-pytorch.org/OpenEnv/environments/repl/
Inference script: https://github.com/meta-pytorch/OpenEnv/blob/main/examples/repl_oolong_simple.py
Used in the Recursive Language Models (RLM) paper by Alex Zhang.
Ready for inference & post-training using trajectories. Handles long contexts:
> Run Python code in a sandbox
> Make recursive calls to LMs
> Explore data programmatically
> Return final result
Docs: https://meta-pytorch.org/OpenEnv/environments/repl/
Inference script: https://github.com/meta-pytorch/OpenEnv/blob/main/examples/repl_oolong_simple.py