| --- |
| library_name: cellpose |
| pipeline_tag: image-segmentation |
| base_model: mouseland/cellpose-sam |
| base_model_relation: quantized |
| license: bsd-3-clause |
| arXiv: 2609.21038 |
| tags: |
| - cellpose |
| - cellpose-sam |
| - microscopy |
| - quantization |
| - image-segmentation |
| --- |
| |
| <div align="center"> |
| <img src="https://cdn-uploads.huggingface.co/production/uploads/68ed488e386d9944bc2ea3a5/z6lWF8anMTDnO-E3zrFTU.png" alt="Capicú Technologies" /> |
| </div> |
|
|
| # Cellpose-SAM WQuant — W8A16 |
|
|
| Ready-to-load `W8A16` quantized variant of |
| [Cellpose-SAM cpsam_v2](https://huggingface.co/mouseland/cellpose-sam). |
|
|
| ## Load |
|
|
| ```python |
| import runpy |
| from huggingface_hub import hf_hub_download |
| |
| loader = runpy.run_path( |
| hf_hub_download("capicu-ai/cellpose-sam-wquant-w8a16", "runtime_loader.py") |
| ) |
| model = loader["load_model"]() |
| ``` |
|
|
| Pass `device="cuda"` to `load_model` for CUDA. |
|
|
| ## Result |
|
|
| - Weight size: 295.8 MiB |
| - Compression versus FP32: 3.93x |
| - Evaluated paired samples: 20 |
| - Complete bounded-panel criterion met: Yes |
| - Reload verification normalized RMSE: 0.0 |
|
|
| `results.json` and `model_registry.json` contain the compact machine-readable |
| record. |
|
|
| ## Citation |
|
|
| If you use this model or code, please cite our paper: |
|
|
| ```bibtex |
| @article{cruzromero2026retention, |
| title={Retention-Constrained Post-Training Quantization of Cellpose-SAM for Stem Cell Microscopy}, |
| author={Cruz Romero, Sebasti{\'a}n A.}, |
| journal={arXiv preprint arXiv:2609.21038}, |
| note={Accepted at NeurIPS 2026 LXAI Workshop}, |
| year={2026} |
| } |
| ``` |
|
|
|
|
