Miles Rl 학습
원문: 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.
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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) FP8 or INT4 quantization aware training Bit wise identical train inference alignment Speculative RL for maximum throughput Production stability with enterprise support Consider alternatives when: You want the research grade original → use slime You need flexible backend swapping → use ve…
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