Image-Text-to-Text
MLX
Safetensors
English
cohere_compass
mlx-vlm
vision-language
multimodal
cohere
north
quantized
conversational
4-bit precision
Instructions to use mlx-community/North-Micro-Vision-Instruct-nvfp4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/North-Micro-Vision-Instruct-nvfp4 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/North-Micro-Vision-Instruct-nvfp4") config = load_config("mlx-community/North-Micro-Vision-Instruct-nvfp4") # 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
| {{ bos_token }}{%- for message in messages %}{%- if message.role == 'system' %}{{- '<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>' }}{%- if message.content is string %}{{- message.content }}{%- else %}{%- for content in message.content %}{%- if 'text' in content %}{{- content.text }}{%- endif %}{%- endfor %}{%- endif %}{{- '<|END_OF_TURN_TOKEN|>' }}{%- elif message.role == 'user' %}{{- '<|START_OF_TURN_TOKEN|><|USER_TOKEN|>' }}{%- if message.content is string %}{{- message.content }}{%- else %}{%- for content in message.content %}{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}<|VISION_START|><|IMAGE_PAD|><|VISION_END|>{%- elif content.type == 'video' or 'video' in content %}<|VISION_START|><|VIDEO_PAD|><|VISION_END|>{%- elif 'text' in content %}{{- content.text }}{%- endif %}{%- endfor %}{%- endif %}{{- '<|END_OF_TURN_TOKEN|>' }}{%- elif message.role == 'assistant' or message.role == 'chatbot' %}{{- '<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>' }}{%- if message.content is string %}{{- message.content }}{%- else %}{%- for content in message.content %}{%- if 'text' in content %}{{- content.text }}{%- endif %}{%- endfor %}{%- endif %}{{- '<|END_OF_TURN_TOKEN|>' }}{%- endif %}{%- endfor %}{%- if add_generation_prompt %}{{- '<|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>' }}{%- endif %} |