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In a Training Loop π
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Andrey
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New REPL environment in OpenEnv available! β¨ 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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NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model
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Bochkov/abs-bvv-1
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Oct 20, 2025
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