Image-Text-to-Text
MLX
Safetensors
mage_vl
optiq
quantized
4bit
mixed-precision
mage-vl
multimodal
vision-language-model
video-understanding
apple-silicon
conversational
4-bit precision
Instructions to use mlx-community/Mage-VL-OptiQ-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Mage-VL-OptiQ-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("mlx-community/Mage-VL-OptiQ-4bit") config = load_config("mlx-community/Mage-VL-OptiQ-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
| { | |
| "architectures": [ | |
| "MageVLForConditionalGeneration" | |
| ], | |
| "bos_token_id": 151643, | |
| "dtype": "bfloat16", | |
| "eos_token_id": 151645, | |
| "image_token_id": 151655, | |
| "model_type": "mage_vl", | |
| "quantization": { | |
| "group_size": 64, | |
| "bits": 4, | |
| "mode": "affine", | |
| "model.embed_tokens": { | |
| "bits": 8, | |
| "group_size": 64 | |
| }, | |
| "model.layers.0.self_attn.q_proj": { | |
| "bits": 4, | |
| "group_size": 64 | |
| }, | |
| "model.layers.0.self_attn.k_proj": { | |
| "bits": 4, | |
| "group_size": 64 | |
| }, | |
| "model.layers.0.self_attn.v_proj": { | |
| "bits": 8, | |
| "group_size": 64 | |
| }, | |
| "model.layers.0.self_attn.o_proj": { | |
| "bits": 8, | |
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| }, | |
| "model.layers.0.mlp.gate_proj": { | |
| "bits": 4, | |
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| }, | |
| "model.layers.0.mlp.down_proj": { | |
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| }, | |
| "model.layers.0.mlp.up_proj": { | |
| "bits": 4, | |
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| }, | |
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| "bits": 4, | |
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| "model.layers.1.self_attn.v_proj": { | |
| "bits": 8, | |
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| }, | |
| "model.layers.1.self_attn.o_proj": { | |
| "bits": 8, | |
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| }, | |
| "model.layers.1.mlp.gate_proj": { | |
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| "bits": 4, | |
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| "model.layers.2.self_attn.v_proj": { | |
| "bits": 8, | |
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| "model.layers.2.self_attn.o_proj": { | |
| "bits": 4, | |
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| "model.layers.9.self_attn.v_proj": { | |
| "bits": 8, | |
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| "model.layers.12.self_attn.v_proj": { | |
| "bits": 8, | |
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| "model.layers.12.self_attn.o_proj": { | |
| "bits": 8, | |
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| "bits": 4, | |
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| "bits": 8, | |
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| "model.layers.12.mlp.up_proj": { | |
| "bits": 4, | |
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| "bits": 4, | |
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| "bits": 4, | |
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| "model.layers.14.self_attn.q_proj": { | |
| "bits": 8, | |
| "group_size": 64 | |
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| "model.layers.14.self_attn.k_proj": { | |
| "bits": 4, | |
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| "model.layers.14.self_attn.v_proj": { | |
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| "model.layers.17.self_attn.v_proj": { | |
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