Instructions to use ixim/Image21-MLX-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ixim/Image21-MLX-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Image21-MLX-8bit ixim/Image21-MLX-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download transformer/config.json from ixim/Image21-MLX-8bit: direct link, hf CLI and curl.
- Browser
- Download file 727 Bytes
-
https://huggingface.co/ixim/Image21-MLX-8bit/resolve/main/transformer/config.json
- Command line
-
hf download hf://ixim/Image21-MLX-8bit/transformer/config.json
-
curl -L -o config.json https://huggingface.co/ixim/Image21-MLX-8bit/resolve/main/transformer/config.json
727 Bytes
| { | |
| "_class_name": "QwenImage21Transformer2DModel", | |
| "_diffusers_version": "0.37.0.dev0", | |
| "attention_head_dim": 128, | |
| "axes_dims_rope": [ | |
| 16, | |
| 56, | |
| 56 | |
| ], | |
| "context_in_dim": 4096, | |
| "in_channels": 64, | |
| "num_attention_heads": 32, | |
| "num_layers": 32, | |
| "out_channels": 64, | |
| "patch_size": 1, | |
| "mlp_ratio": 3, | |
| "eps": 1e-06, | |
| "causal_condition": true, | |
| "quantization": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| }, | |
| "mlx_format": true, | |
| "_modification_notice": "Modified by ixim / iximbox for Image21-MLX: converted from the pinned BF16 source to MLX layout; eligible linear weights use groupwise affine quantization. See conversion.json for precision and exceptions. Built with Qwen." | |
| } | |