Miles v0.1 launches: open-source RL framework with 1,326 commits, 85 GPU CI tests
ying11231 · x · 2026-08-19
The team behind Miles released v0.1, an open-source RL training framework for LLMs and multimodal models, aiming to make large-scale RL correct, efficient, and debuggable.
- 72 contributors landed 1,326 commits over 9 months, with 85 GPU end-to-end CI tests.
- Battle-tested on frontier open models like Kimi K3, DeepSeek V4, Qwen 3.8, GLM 5.2, and MiniMax H3.
- Uses SGLang as the native rollout engine, paired with Megatron-LM and FSDP for training; supports both LLMs and diffusion models.
- Powers production RL at humansand, periodiclabs, Modal, Decagon, Nebius, IBM and more, on both NVIDIA and AMD hardware.
Related event: Open-source RL Training Framework Miles v0.1 Released(5 posts)→
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