Image-Text-to-Text
MLX
Safetensors
English
Chinese
Indonesian
KeyeVL1_5
vision-language
multimodal
keye-vl
apple-silicon
conversational
custom_code
4-bit precision
Instructions to use andrevp/Keye-VL-1.5-8B-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use andrevp/Keye-VL-1.5-8B-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("andrevp/Keye-VL-1.5-8B-MLX-4bit") config = load_config("andrevp/Keye-VL-1.5-8B-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
- LM Studio
| { | |
| "auto_map": { | |
| "AutoProcessor": "processing_keye_vl_1_5.KeyeVL1_5Processor" | |
| }, | |
| "image_processor": { | |
| "auto_map": { | |
| "AutoImageProcessor": "image_processing_keye_vl_1_5.KeyeVL1_5ImageProcessor", | |
| "AutoProcessor": "processing_keye_vl_1_5.KeyeVL1_5Processor" | |
| }, | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_processor_type": "KeyeVL1_5ImageProcessor", | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "max_pixels": 16056320, | |
| "merge_size": 2, | |
| "min_pixels": 3136, | |
| "patch_size": 14, | |
| "resample": 2, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "max_pixels": 16056320, | |
| "min_pixels": 3136 | |
| }, | |
| "temporal_patch_size": 1 | |
| }, | |
| "processor_class": "KeyeVL1_5Processor" | |
| } | |