December 2025 performance summary for vllm-project/vllm-projecthub.io.git: Delivered Speculators v0.3.0 library launch and training support, enabling end-to-end training for draft models in speculative decoding, including offline data generation and multi-architecture training to improve inference performance for large language models. Documentation and knowledge transfer were advanced via a dedicated blog post. No major bugs fixed this month; focus remained on delivering business-value features and robust release-quality code. Impact: accelerated model experimentation, improved inference efficiency, and clearer guidance for users and internal teams. Technologies/skills demonstrated: speculative decoding, training pipelines, offline data generation, multi-architecture training, blog/documentation authoring, Git-based release management.