MLX Community · First MLX build 18 Apr 2025
InternVL3-8B
MLX
TextVision qwen
A 7.9B parameter vision and text model, with 5 MLX builds, from 3-bit to bf16.
- Parameters
- 7.9B From Hugging Face
- Quantisation
- 6-bit InternVL3-8B-6bit
- Memory needed
- — GB Estimate, unified memory
- Download
- — Weights, estimated
- Downloads
- 130 This build, last 30 days
- Task
- Vision and text Text, Vision
- MLX builds
- 5 On mlx-community
- Devices
- Mac Apple silicon
Memory
Hugging Face does not list a weights size for this build, so there is no memory estimate.
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/InternVL3-8B-6bit --image photo.jpg --prompt "Describe this image"MLX builds
5 on mlx-community| InternVL3-8B-3bit | 3-bit | 4.0 GB | 7 GB | 36 |
|---|---|---|---|---|
| InternVL3-8B-MLX-4bit | 4-bit | 4.9 GB | 8 GB | 63 |
| InternVL3-8B-6bit | 6-bit | — | — | 130 |
| InternVL3-8B-8bit | 8-bit | — | — | 89 |
| InternVL3-8B-bf16 | bf16 | — | — | 41 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.