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Projects
  • Miles
    Enterprise RL framework for LLM/VLM post-training. Integrates SGLang rollout + Megatron training with FP8 pipeline and MoE support.
  • SpecForge
    Train speculative decoding draft models and port them to SGLang serving. Part of the SGLang ecosystem.
  • TritonForge
    LLM-powered GPU kernel synthesis: Train models to convert PyTorch ops into optimized Triton kernels via SFT+RL.
  • APRIL
    Active Partial Rollouts in Reinforcement Learning to Tame Long-tail Generation. A system-level optimization for scalable LLM training.
  • SGLang
    High-performance serving framework for large language models and multimodal models. Contributor.
  • slime
    LLM post-training framework for RL Scaling. Contributor to the THUDM project.
  • Awesome-ML-SYS-Tutorial
    Curated learning notes and tutorials for ML Systems — inference, training, distributed systems, and GPU programming.
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