4-bit Open on Hugging Face
Parameters
7.9B
Weights (est.)
≈ 4.9 GB
Mac memory (est.)
8 GB+
Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.
Run it
With mlx-vlm on an Apple silicon Mac:
pip install mlx-vlmpython -m mlx_vlm.generate --model mlx-community/InternVL3-9B-4bit --image photo.jpg --prompt "Describe this image"
Details
- Base model
- OpenGVLab/InternVL3-1B-Instruct (finetune)
- Vendor
- OpenGVLab
- Task
- Vision + text
- Quantisation
- 4-bit
- Licence
- apache-2.0
- Downloads
- 56 in the last 30 days · 727 all time · 0 likes
- Published
- 2025-04-30 · updated 2025-04-30 (1y ago)
- Languages
- multilingual
- Tags
- internvl_chat, feature-extraction, internvl, custom_code