π A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
A scalable, agentic-first, and HuggingFace-native RL framework for research (9k lines).
Train speculative decoding models effortlessly and port them smoothly to SGLang serving.
YaFSDP: Yet another Fully Sharded Data Parallel
From teacher to tiles β a from-scratch LLM distillation & serving engine: custom Triton/CUDA kernels, FSDP distillation, paged-KV continuous batching, speculative decoding, a Rust gateway, a JAX oracle, and interpretability tooling.
Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)