Image-Text-to-Video
MLX
Safetensors
apple-silicon
text-to-video
image-to-video
audio-video-generation
diffusion
Instructions to use pipenetwork/MiniMax-H3-MLX-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use pipenetwork/MiniMax-H3-MLX-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download pipenetwork/MiniMax-H3-MLX-8bit --local-dir MiniMax-H3-MLX-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download quant_config.json from pipenetwork/MiniMax-H3-MLX-8bit: direct link, hf CLI and curl.
- Browser
- Download file 185 Bytes
-
https://huggingface.co/pipenetwork/MiniMax-H3-MLX-8bit/resolve/main/quant_config.json
- Command line
-
hf download hf://pipenetwork/MiniMax-H3-MLX-8bit/quant_config.json
-
curl -L -o quant_config.json https://huggingface.co/pipenetwork/MiniMax-H3-MLX-8bit/resolve/main/quant_config.json
185 Bytes
| { | |
| "bits": 8, | |
| "group_size": 64, | |
| "quantize_adaln": true, | |
| "adaln_bits": 8, | |
| "quantized_layers": { | |
| "8": 258 | |
| }, | |
| "gb_on_disk": 35.3, | |
| "gb_resident_after_adaln_drop": 21.47 | |
| } |