miles-rl-training

SKILL.md

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.

Use this workflow for training large MoE models like DeepSeek V3 or Qwen3-MoE.

Use this workflow for maximum rollout throughput with EAGLE speculative decoding.

Provides guidance for enterprise-grade RL training using miles, a production-ready fork of slime. Use when training large MoE models with FP8/INT4, needing train-inference alignment, or requiring speculative RL for maximum throughput. Source: orchestra-research/ai-research-skills.

View raw