February 2026 monthly work summary for vllm-project/llm-compressor focusing on FP8 quantization across multiple models under INFERENG-2666. Delivered a first draft of FP8 quantization for Llama4, Qwen3, Kimi K2, and Mistral, captured in a dedicated commit with scope, testing notes (to be verified), and reviewer questions. Established groundwork for cross-model quantization, documentation, and examples ready for review.

October 2025: Delivered a new FAQ page for the LLM Compressor documentation to address common questions on speed, quantization, memory requirements, and multi-GPU support, with links to guides and external resources. Implemented in vllm-project/llm-compressor with commit 5061adf2e51ddb7724f1dbaadd1aa16611e99961 (Created FAQ page first draft (#1896)). This enhances self-service support, accelerates onboarding, and provides a solid foundation for future documentation improvements. Demonstrated strong documentation discipline, user-centric writing, and the ability to link technical content to practical workflows.