Image-Text-to-Text
MLX
Safetensors
mage_vl
apple-silicon
vision-language
video
streaming
conversational
custom_code
4-bit precision
Instructions to use sr29/Mage-VL-mlx-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use sr29/Mage-VL-mlx-4bit with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("sr29/Mage-VL-mlx-4bit") config = load_config("sr29/Mage-VL-mlx-4bit") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download video_preprocessor_config.json from sr29/Mage-VL-mlx-4bit: direct link, hf CLI and curl.
- Browser
- Download file 465 Bytes
-
https://huggingface.co/sr29/Mage-VL-mlx-4bit/resolve/main/video_preprocessor_config.json
- Command line
-
hf download hf://sr29/Mage-VL-mlx-4bit/video_preprocessor_config.json
-
curl -L -o video_preprocessor_config.json https://huggingface.co/sr29/Mage-VL-mlx-4bit/resolve/main/video_preprocessor_config.json
465 Bytes
| { | |
| "video_processor_type": "MageVLVideoProcessor", | |
| "processor_class": "MageVLProcessor", | |
| "auto_map": { | |
| "AutoProcessor": "processing_mage_vl.MageVLProcessor", | |
| "AutoVideoProcessor": "video_processing_mage_vl.MageVLVideoProcessor" | |
| }, | |
| "max_frames": 768, | |
| "fixed_num_frames": null, | |
| "target_fps": null, | |
| "min_pixels": 3136, | |
| "max_pixels": 12845056, | |
| "patch_size": 16, | |
| "spatial_merge_size": 2, | |
| "temporal_patch_size": 1, | |
| "resize_frames": true | |
| } |