Instructions to use mlx-community/idefics2-8b-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/idefics2-8b-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/idefics2-8b-4bit") config = load_config("mlx-community/idefics2-8b-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 chat_template.json from mlx-community/idefics2-8b-4bit: direct link, hf CLI and curl.
- Browser
- Download file 418 Bytes
-
https://huggingface.co/mlx-community/idefics2-8b-4bit/resolve/main/chat_template.json
- Command line
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hf download hf://mlx-community/idefics2-8b-4bit/chat_template.json
-
curl -L -o chat_template.json https://huggingface.co/mlx-community/idefics2-8b-4bit/resolve/main/chat_template.json
418 Bytes
| { | |
| "chat_template": "{% for message in messages %}{{message['role'].capitalize()}}{% if message['content'][0]['type'] == 'image' %}{{':'}}{% else %}{{': '}}{% endif %}{% for line in message['content'] %}{% if line['type'] == 'text' %}{{line['text']}}{% elif line['type'] == 'image' %}{{ '<image>' }}{% endif %}{% endfor %}<end_of_utterance>\n{% endfor %}{% if add_generation_prompt %}{{ 'Assistant:' }}{% endif %}" | |
| } | |