Instructions to use moonbox-dev/MOSS-Image-SFT-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use moonbox-dev/MOSS-Image-SFT-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download moonbox-dev/MOSS-Image-SFT-MLX --local-dir MOSS-Image-SFT-MLX
- Diffusion Single File
How to use moonbox-dev/MOSS-Image-SFT-MLX with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download 6bit/mflux_model.json from moonbox-dev/MOSS-Image-SFT-MLX: direct link, hf CLI and curl.
- Browser
- Download file 402 Bytes
-
https://huggingface.co/moonbox-dev/MOSS-Image-SFT-MLX/resolve/main/6bit/mflux_model.json
- Command line
-
hf download hf://moonbox-dev/MOSS-Image-SFT-MLX/6bit/mflux_model.json
-
curl -L -o mflux_model.json https://huggingface.co/moonbox-dev/MOSS-Image-SFT-MLX/resolve/main/6bit/mflux_model.json
402 Bytes
| { | |
| "format_version": 1, | |
| "mflux_version": "0.24.0", | |
| "created_at": "2026-11-12T09:41:25Z", | |
| "updated_at": "2026-11-12T09:41:25Z", | |
| "model_name": "bf16", | |
| "base_model": "moss-image-sft", | |
| "quantize": 6, | |
| "size_gb": 10.72, | |
| "upstream": { | |
| "repo_id": null, | |
| "revision": null, | |
| "revision_date": null, | |
| "size_gb": 26.18 | |
| }, | |
| "text_encoders": [ | |
| "text_encoder" | |
| ], | |
| "loras": [] | |
| } | |