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<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT -->
---
name: miles
description: MILES post-training framework for LLM alignment. Use when applying iterative self-improvement or preference-based training methods.
tags: [miles, post-training, rl]
---

# miles: Enterprise-Grade RL for Large-Scale Model Training

miles is a high-performance, enterprise-ready RL framework optimized for large-scale model post-training. Built as a production fork of slime, it addresses critical challenges in MoE training stability, low-precision training, and train-inference alignment.

## When to Use miles

**Choose miles when you need:**
- Training 1TB+ MoE models (DeepSeek V3, Qwen3-MoE)
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