Instructions to use iky1e/moebius-pretrained-mlx-q4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use iky1e/moebius-pretrained-mlx-q4 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download iky1e/moebius-pretrained-mlx-q4 --local-dir moebius-pretrained-mlx-q4
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download vae_decoder.safetensors from iky1e/moebius-pretrained-mlx-q4: direct link, hf CLI and curl.
- Browser
- Download file 99 MB
-
https://huggingface.co/iky1e/moebius-pretrained-mlx-q4/resolve/main/vae_decoder.safetensors
- Command line
-
hf download hf://iky1e/moebius-pretrained-mlx-q4/vae_decoder.safetensors
-
curl -L -o vae_decoder.safetensors https://huggingface.co/iky1e/moebius-pretrained-mlx-q4/resolve/main/vae_decoder.safetensors
99 MB
- Xet hash:
- 74f05c8f858f3efc4b51fd45871825f1ed2e3c99bf18c0e9b4c892719031a5ca
- Size of remote file:
- 99 MB
- SHA256:
- 08778bbb4b48640ad16381904eeeb99635846eb24409f70ae7fdc8eb01a87e76
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