This dataset contains the frozen inputs, vector artifacts, metrics, calibration
evidence, and scripts behind the companion engineering post on MLX Q/oQ/oQe
embedding quantization and CUDA-native controls.
See RESULTS.md for the compact result tables and evidence
boundaries.
The model weights are not duplicated here. models.lock.json pins all 30 public
model repositories to exact Hub commits and records their canonical upstream
BF16… See the full description on the dataset page:
https://huggingface.co/datasets/TiGa-RCE/embedding-quant-repro-2026-07-28.
