April 2026 monthly summary for neuralmagic/compressed-tensors focusing on quantization validation and dtype rounding enhancements. Delivered a validation fix to restrict activation ordering to group-based quantization strategies, tightening correctness and reducing invalid configurations. Implemented FP16 and FP64 rounding support, introducing new data-type handling with FLOAT16_DATA and FLOAT64_DATA classes and updated rounding logic to enable mixed-precision workflows. Performed coordinated cleanup by removing outdated value error tests tied to the old validation path. These changes reduce production risk, broaden data-type applicability, and demonstrate solid end-to-end feature delivery in a collaborative codebase.

Month: 2024-12 — Focused on cross-backend improvement in NNCF by centralizing tensor statistics collection; completed a refactor to move get_statistic_collector from backend implementations to a shared location and introduced REDUCERS_MAP to standardize behavior across PyTorch, ONNX, OpenVINO, and FX.