Discover · GitHub · Miles↑ +64 today
Enterprise-Scale AI Training
Miles is an enterprise-focused framework that manages reinforcement learning processes for large language models (LLMs) and vision-language models (VLMs). Developed to optimize post-training processes, this Python-based tool evolves in parallel with the slime project.
Updates
- September 5, 2026: Stars 2,601 → 2,603, latest release v0.1.0 (August 18, 2026).
What you get
- Provides high-performance reinforcement learning processes for trillion-parameter models.
- Offers integration with SGLang (high-speed model serving software) and Megatron-LM (scalable training library).
- Features fault tolerance for automatic recovery without stopping training during system crashes.
Getting started
- Official source →
Related dictionary terms
Who it is forSuitable for enterprise developers and researchers looking to train and optimize large-scale AI models.
LicenseApache-2.0
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-09-05: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. This page was machine-translated from the Turkish original · the Turkish version prevails.