MLX Community · First MLX build 29 Mar 2025
siglip-so400m-patch14-224
MLX
Text apache-2.0
A 877M parameter zero shot image classification model, with one MLX build.
- Parameters
- 877M From Hugging Face
- Quantisation
- Unstated siglip-so400m-patch14-224
- Memory needed
- 4 GB Estimate, unified memory
- Download
- 1.8 GB Weights, estimated
- Downloads
- 37 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/siglip-so400m-patch14-224MLX builds
1 on mlx-community| siglip-so400m-patch14-224 | Unstated | 1.8 GB | 4 GB | 37 |
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Sizes are estimated from Hugging Face’s parameter counts and the quantisation. Downloads are for the last 30 days.