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Low Horng Jiun
NickolasLow1
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Building the Open Agent Ecosystem Together: Introducing OpenEnv
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New REPL environment in OpenEnv available! โจ 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
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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! ๐ฑ 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
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Qwen2.5 7B Instruct
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NickolasLow1/Qwen2.5-7B-Instruct
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