A new open-source project offers 650+ Apache-2.0 licensed biomedical NER and de-identification models that run on-device via MLX. On a 3-year-old MacBook Pro with M3 Max, clinical NER models achieve 30-40x speedups over PyTorch-CPU with identical fp32 outputs and entity results, due to architectural efficiency on Apple Silicon. The models, including 434M biomedical NER and PII de-ID, are publicly available on Hugging Face and GitHub, with full reproducibility provided in code and methodology.