4-bit Open on Hugging Face
Parameters
5.0B
Weights (est.)
≈ 3.0 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/gemma-3-4b-it-qat-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
- qwen
- Downloads
- 42K in the last 30 days · 3.4M all time · 9 likes
- Published
- 2025-04-15 · updated 2025-04-21 (1y ago)
- Languages
- multilingual
- Tags
- gemma3, internvl, custom_code