Miles Rl Training

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.

Originally published by orchestra. Licensed under MIT. View original: https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/main/06-post-training/miles

Anthropic and OpenAI are registered trademarks of their respective owners. skill.ski is not affiliated with or endorsed by Anthropic or OpenAI.

Add the free skill.ski MCP server to your .mcp.json or equivalent config file:

{
  "mcpServers": {
    "skill-ski-free": {
      "url": "https://mcp.skill.ski/free",
      "type": "http"
    }
  }
}

Once connected, this Oski is available as a callable tool at your runtime. No paywall. No sign-in required for free-tier Oskis.