May 2025 delivered end-to-end Vision-Language Model (VLM) calibration tooling for FP8 inference in HabanaAI/vllm-hpu-extension, including a new calibration script, Python utilities, device detection, scale measurement/quantization, tensor parallelism options, and group-based unification of measurements. Refactored calibration code for naming consistency and usability, and integrated Hugging Face Hub dataset download support with improved local dataset handling to boost reproducibility. These efforts streamline FP8 calibration workflows, reduce setup time, and improve calibration reliability for faster, more predictable deployment of optimized VLM workloads.

March 2025: Focused stability and reliability improvements in the quantization workflow for Llama3.2 within intel/neural-compressor. Fixed a GC error by ensuring cache is properly passed and managed in the forward_quant and forward_measure paths, and addressed a None input edge case during the decode stage of cross-attention. These changes enhance reliability of quantization for Llama3.2 (11B/90B) models and reduce production incidents.

February 2025 monthly summary for bytedance-iaas/vllm. Focused on hardware-accelerated optimization for Gaudi and a critical bug fix in guided decoding to improve reliability and performance on HPU paths.