MLX Community · First MLX build 13 Jan 2026
medgemma-1.5-4b-it
MLX
TextVision health-ai-developer-foundations
A 5B parameter vision and text model, with 4 MLX builds, from 4-bit to bf16.
- Parameters
- 5B From Hugging Face
- Quantisation
- bf16 medgemma-1.5-4b-it-bf16
- Memory needed
- 14 GB Estimate, unified memory
- Download
- 9.9 GB Weights, estimated
- Downloads
- 843 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 14 GB at bf16
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/medgemma-1.5-4b-it-bf16 --image photo.jpg --prompt "Describe this image"MLX builds
4 on mlx-community| medgemma-1.5-4b-it-4bit | 4-bit | 3.4 GB | 6 GB | 773 |
|---|---|---|---|---|
| medgemma-1.5-4b-it-6bit | 6-bit | 4.5 GB | 8 GB | 58 |
| medgemma-1.5-4b-it-8bit | 8-bit | 5.7 GB | 9 GB | 182 |
| medgemma-1.5-4b-it-bf16 | bf16 | 9.9 GB | 14 GB | 843 |
Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.