MLX Community · First MLX build 30 Apr 2025
InternVL3-9B
MLX
TextVision apache-2.0
A 7.9B parameter vision and text model, with 4 MLX builds, from 4-bit to bf16.
- Parameters
- 7.9B From Hugging Face
- Quantisation
- 4-bit InternVL3-9B-4bit
- Memory needed
- 8 GB Estimate, unified memory
- Download
- 4.9 GB Weights, estimated
- Downloads
- 56 This build, last 30 days
- Task
- Vision and text Text, Vision
- MLX builds
- 4 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 8 GB at 4-bit
8 GB
16 GB
24 GB
32 GB
64 GB
128 GB
Fits with headroomTight, close other appsWon’t fit
Estimated from the size of the weights, plus a fifth for context and working memory and 2 GB for macOS and your apps. Long contexts need more.
Run it
Terminal · mlx-vlm$ pip install -U mlx-vlm
$ python -m mlx_vlm.generate --model mlx-community/InternVL3-9B-4bit --image photo.jpg --prompt "Describe this image"MLX builds
4 on mlx-community| InternVL3-9B-4bit | 4-bit | 4.9 GB | 8 GB | 56 |
|---|---|---|---|---|
| InternVL3-9B-8bit | 8-bit | — | — | 22 |
| InternVL3-9B-6bit | 6-bit | — | — | 16 |
| InternVL3-9B-bf16 | bf16 | — | — | 14 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.