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…