Miles v0.1 Open Source RL Framework Launches for LLMs
ying11231 · x · 2026-08-19
SGLang/RadixArk launched Miles v0.1, an open-source reinforcement learning framework for LLMs and multimodal models. It addresses common challenges in RL training such as debugging difficulties, hardware efficiency, and scaling issues. Battle-tested over nine months with 1,326 commits and 85 GPU E2E CI tests, Miles supports frontier open models like Kimi K3, DeepSeek V4, and Qwen 3.8. It currently powers production RL workloads at companies including IBM, Modal, and DecagonAI on both NVIDIA and AMD hardware.
Related event: RadixArk open-sources Miles v0.1, an RL training framework for LLMs(9 posts)→
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