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QeRL
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QeRL

[ICLR 2026]QeRL enables RL for 32B LLMs on a single H100 GPU.

by NVlabs · GitHub
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llmsquantizationreasoningApache-2.0Python
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Run reinforcement learning for large language models on a single GPU with enhanced efficiency.

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2026-07-202026-08-31
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📄 About

[ICLR 2026]QeRL enables RL for 32B LLMs on a single H100 GPU.

QeRL has 511 stars on GitHub. It has been forked 51 times. QeRL is written mainly in Python. It has been in active development since 2025. QeRL is available under the Apache-2.0 license. Its main topics are llms, quantization, reasoning, reinforcement-learning.

Frequently asked questions

What is QeRL?

[ICLR 2026]QeRL enables RL for 32B LLMs on a single H100 GPU.

Is QeRL open source?

QeRL is an open-source project. It is released under the Apache-2.0 license.

Is QeRL free?

Yes. QeRL is free and open source — you can use, modify and self-host it.

What license does QeRL use?

QeRL is available under the Apache-2.0 license.

What language is QeRL written in?

QeRL is written mainly in Python.

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