Hugging Face · First MLX build 12 Feb 2025
SmolVLM2-2.2B-Instruct
MLX
TextVision apache-2.0
A 2.2B parameter vision and text model from Hugging Face, with one MLX build.
- Parameters
- 2.2B From Hugging Face
- Quantisation
- Unstated SmolVLM2-2.2B-Instruct-mlx
- Memory needed
- 8 GB Estimate, unified memory
- Download
- 4.5 GB Weights, estimated
- Downloads
- 797 This build, last 30 days
- Task
- Vision and text Text, Vision
- MLX builds
- 1 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 8 GB at Unstated
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/SmolVLM2-2.2B-Instruct-mlx --image photo.jpg --prompt "Describe this image"MLX builds
1 on mlx-community| SmolVLM2-2.2B-Instruct-mlx | Unstated | 4.5 GB | 8 GB | 797 |
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Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.