MiniMax 祝贺 fal 团队基于 MiniMax H3 Max 的第三方后训练成果,强调开放权重让这一性能可被任何人复现。SGLang 的 miles pipeline 提供完整 RL + LoRA SFT 训练器及从数据到导出的分步指南,可直接加载进 sgl-diffusion 部署。
Congrats to the fal team on MiniMax H3 Max - fantastic work!💙
What makes this exciting is that the ecosystem makes this performance reproducible for anyone:
👩🍳Training Pipeline: SGLang’s miles pipeline provides a complete RL + LoRA SFT trainer alongside a step-by-step guide - from data pipeline and recipe straight through to export - loading directly into sgl-diffusion for serving.
⚡️Inference Speed: Sol-Attention and Sol Engine deliver a 3.95× end-to-end speedup. Combined with few-step distillation, latency drops even further.
Third-party post-trains like MiniMax H3 Max showcase what happens when a strong base model’s true potential is unlocked. This is exactly why we build with open weights - keep them coming!
来源:@MiniMax_AI · x.com