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] hf download ixim/Image21-MLX-8bit --local-dir Image21-MLX-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download evaluation/bf16/environment.json from ixim/Image21-MLX-8bit: direct link, hf CLI and curl.
- Browser
- Download file 1.75 kB
-
https://huggingface.co/ixim/Image21-MLX-8bit/resolve/main/evaluation/bf16/environment.json
- Command line
-
hf download hf://ixim/Image21-MLX-8bit/evaluation/bf16/environment.json
-
curl -L -o environment.json https://huggingface.co/ixim/Image21-MLX-8bit/resolve/main/evaluation/bf16/environment.json
1.75 kB
| { | |
| "model": "Image21-MLX-bf16", | |
| "device": { | |
| "device_name": "Apple M4 Max", | |
| "max_recommended_working_set_size": 115448725504, | |
| "memory_size": 137438953472, | |
| "architecture": "applegpu_g16s", | |
| "max_buffer_length": 86586540032, | |
| "resource_limit": 499000 | |
| }, | |
| "platform": "macOS-26.6.2-arm64-arm-64bit-Mach-O", | |
| "total_memory_gib": 128.0, | |
| "packages": { | |
| "mlx": "0.32.2", | |
| "mlx-vlm": "0.7.3", | |
| "numpy": "2.5.3", | |
| "transformers": "5.17.0" | |
| }, | |
| "cases_sha256": "2663ee3d489e1eb136e02b083963b8622146fc65ac301d6acc5a6aab21e63356", | |
| "warmup": true, | |
| "phase_offload": true, | |
| "note": "MLX allocated peak is not whole-system memory or a proven minimum RAM requirement.", | |
| "conversion": { | |
| "name": "Image21-MLX", | |
| "source_model": "Qwen/Qwen-Image-2.1", | |
| "source_revision": "b3179ad355be050328e483a9dfdd9e60cd62adfa", | |
| "runtime_revision": "95b01ccad2d9f65a9e87f6a87bd1c5df69626261", | |
| "method": "MLX BF16 layout conversion", | |
| "bits": 16, | |
| "group_size": 64, | |
| "activation_dtype": "bfloat16", | |
| "vae_dtype": "float32", | |
| "components": { | |
| "transformer": { | |
| "quantized_modules": [], | |
| "tensor_bytes": 14230249472, | |
| "tensors": 297, | |
| "exact_roundtrip": true | |
| }, | |
| "text_encoder": { | |
| "quantized_modules": [], | |
| "tensor_bytes": 17534247392, | |
| "tensors": 750, | |
| "exact_roundtrip": true | |
| }, | |
| "vae": { | |
| "quantized_modules": [], | |
| "tensor_bytes": 1350961616, | |
| "tensors": 238, | |
| "exact_roundtrip": true | |
| } | |
| }, | |
| "source_audit_sha256": "149b336e13a8dc556e1b8992fc333e0e844eb3dbe58fb7346c6f58aea95023f3", | |
| "status": "converted_and_roundtrip_verified", | |
| "seconds": 43.06099691695999 | |
| } | |
| } | |