June 2026 – jd-opensource/xllm: Delivered a key feature enabling W8A8 quantization for Qwen3-VL down_proj, with loader updates to support quantized weights, biases, and scales, and configuration of the NPU layer to the W8A8 linear type. This directly reduces memory footprint and improves inference throughput for the MLP down-projection, enabling more scalable on-device deployment. No major bugs reported this month. Overall impact includes establishing a quantization pathway for Qwen3-VL and laying groundwork for additional performance optimizations in xllm. Technologies demonstrated include quantization techniques (W8A8), loader engineering for quantized parameters, and NPU-specific layer configuration; all changes are tracked in commit 4e9203be2256fcccbdcce646459093e43991282a (PR #1751).