MLX Community · First MLX build 23 Jan 2025
SmolVLM-256M-Instruct
MLX
TextVision apache-2.0
A 256M parameter vision and text model, with 5 MLX builds, from 3-bit to bf16.
- Parameters
- 256M From Hugging Face
- Quantisation
- 4-bit SmolVLM-256M-Instruct-4bit
- Memory needed
- 3 GB Estimate, unified memory
- Download
- 145 MB Weights, estimated
- Downloads
- 1.4K This build, last 30 days
- Task
- Vision and text Text, Vision
- MLX builds
- 5 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 3 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/SmolVLM-256M-Instruct-4bit --image photo.jpg --prompt "Describe this image"MLX builds
5 on mlx-community| SmolVLM-256M-Instruct-3bit | 3-bit | 113 MB | 3 GB | 48 |
|---|---|---|---|---|
| SmolVLM-256M-Instruct-4bit | 4-bit | 145 MB | 3 GB | 1.4K |
| SmolVLM-256M-Instruct-6bit | 6-bit | 209 MB | 3 GB | 48 |
| SmolVLM-256M-Instruct-8bit | 8-bit | 273 MB | 3 GB | 104 |
| SmolVLM-256M-Instruct-bf16 | bf16 | 513 MB | 3 GB | 219 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.