Slime Rl 학습
원문: slime-rl-training
Provides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework. Use when training GLM models, implementing custom data generation workflows, or needing tight Megatron-LM integration for RL scaling.
무엇을 하나요
slime: LLM Post Training Framework for RL Scaling slime is an LLM post training framework from Tsinghua's THUDM team, powering GLM 4.5, GLM 4.6, and GLM 4.7. It connects Megatron LM for training with SGLang for high throughput rollout generation. When to Use slime Choose slime when you need: Megatron LM native training with SGLang inference Custom data generation workflows with flexible data buffers Training GLM, Qwen3, DeepSeek V3, or Llama 3 models Research grade framework with production backing (Z.ai) Consider alternatives when: You need enterprise grade stability features → use miles You want flexible backend swapping → use verl You need PyTorch native abstractions → use torchforge Key …
실행 시 본인 API 키(BYOK)로 동작하며, 모델 비용은 사용자 계정에서 직접 결제됩니다.