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UEnv client for evaluation, trajectory collection, environment publishing and training integration. Install with python -m pip install -U uenv-bridge, then run uenv --help. For local training, install in your existing PyTorch, VeRL and vLLM environment. GPU training frameworks and model weights are prepared separately. Documentation: https://uenv.io

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Release files / uenv_bridge-0.2.10-py3-none-any.whl

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