SpecForge enables training speculative decoding models such as Eagle and Eagle3 using PyTorch and FSDP distributed training. Speculative decoding accelerates LLM inference by having a smaller draft model propose tokens that a larger verifier model accepts or rejects. Once trained, the models can be ported to SGLang for production serving.