MLX Community · First MLX build 22 Jan 2026
medsiglip-448
MLX
Text health-ai-developer-foundations
A 878M parameter zero shot image classification model, with one MLX build.
- Parameters
- 878M From Hugging Face
- Quantisation
- Unstated medsiglip-448
- Memory needed
- 4 GB Estimate, unified memory
- Download
- 1.8 GB Weights, estimated
- Downloads
- 38 This build, last 30 days
- Task
- Zero shot image classification Text
- MLX builds
- 1 On mlx-community
- Devices
- Mac Apple silicon
Memory
Will it fit?Needs about 4 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 · Hugging Face CLI$ pip install -U huggingface_hub
$ hf download mlx-community/medsiglip-448MLX builds
1 on mlx-community| medsiglip-448 | Unstated | 1.8 GB | 4 GB | 38 |
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Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.