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Helps Mac users find an MLX model and a quantization that suit their machine, in a static page that opens in any browser with nothing to install.
MLX Model Explorer is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.
pip install -U huggingface_hub hf download mlx-community/mlx-model-explorer --repo-type space --local-dir mlx-model-explorer cd mlx-model-explorer
MLX Model Explorer is a static web page that helps you pick an MLX model and a quantization for your Mac. The whole page is one index.html file, and it reads the mlx-community/mlx-model-explorer-data dataset. You can open it in a browser without installing anything.
It suits Mac owners who run models locally and want to know which MLX model and quantization fit their machine.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Software | Developers on a Mac | Find a model and quantization before downloading one | Look for a model that suits their Mac |
| AI research | Researchers | Browse the models that the mlx-community shares | Compare the options on the page |
| Hobby use | Local-AI fans | Choose a size that their Mac can handle | Open the page before trying a new model |
If you do not use a Mac, you can skip it, since the page is about MLX models for Macs.
| Use case | Who | What they get back |
|---|---|---|
| Pick a model | Mac users | A model and quantization that fit their Mac |
| Browse the options | Researchers | A view of the models in the mlx-community dataset |
pip install -U huggingface_hub hf download mlx-community/mlx-model-explorer --repo-type space --local-dir mlx-model-explorer cd mlx-model-explorer
Open the page and look through the models to find one that suits your Mac. The README gives no list of controls, so the page itself shows what you can filter or sort.
You have a Mac and want to run a language model locally. Open the page, look for a model and a quantization that fit, and note which one to download.
Open the page and look at the first few models. A quantization is a smaller version of a model that uses less memory, and the page helps you choose one that your Mac can hold.
The repository holds only a README and index.html, and the data comes from the mlx-community/mlx-model-explorer-data dataset. The page is static, so it needs no server of its own. The source does not say how the data is refreshed.
The page only helps you choose a model and does not run one for you.
Helps Mac users find an MLX model and a quantization that suit their machine, in a static page that opens in any browser with nothing to install.
Made by mlx-community on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.
What it is: MLX Model Explorer is a static web page that helps you pick an MLX model and a quantization for your Mac. The whole page is one index.html file, and it reads the mlx-community/mlx-model-explorer-data dataset. You can open it in a browser without installing anything.
Who it suits: It suits Mac owners who run models locally and want to know which MLX model and quantization fit their machine.
Industry | Who uses it | How they use it | Example
Software | Developers on a Mac | Find a model and quantization before downloading one | Look for a model that suits their Mac
AI research | Researchers | Browse the models that the mlx-community shares | Compare the options on the page
Hobby use | Local-AI fans | Choose a size that their Mac can handle | Open the page before trying a new model
If you do not use a Mac, you can skip it, since the page is about MLX models for Macs.
Where to use it:
Use case | Who | What they get back
Pick a model | Mac users | A model and quantization that fit their Mac
Browse the options | Researchers | A view of the models in the mlx-community dataset
How to set it up:
pip install -U huggingface_hub
hf download mlx-community/mlx-model-explorer --repo-type space --local-dir mlx-model-explorer
cd mlx-model-explorer
How to use it: Open the page and look through the models to find one that suits your Mac. The README gives no list of controls, so the page itself shows what you can filter or sort.
Example: You have a Mac and want to run a language model locally. Open the page, look for a model and a quantization that fit, and note which one to download.
For newcomers and experts: Open the page and look at the first few models. A quantization is a smaller version of a model that uses less memory, and the page helps you choose one that your Mac can hold.
The repository holds only a README and index.html, and the data comes from the mlx-community/mlx-model-explorer-data dataset. The page is static, so it needs no server of its own. The source does not say how the data is refreshed.
You open index.html in a browser
The page loads the explorer dataset
You look for a model and quantization
You pick one that suits your Mac
Good to know: The page only helps you choose a model and does not run one for you.
Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.
README.md 4 KB
Listed Hugging Face Spaces in the same category that share the most tags with this one.
| Product | Likes | Built with | License | Last change |
|---|---|---|---|---|
| MLX Model Explorer This page | 39 | static | mit | |
| InferenceSupportShares static | 764 | static | afl-3.0 | |
| HuggyShares static | 463 | static | cc-by-nc-sa-4.0 | |
| Z-Image Lookalike LoRA IndexShares static | 189 | static | apache-2.0 | |
| Granite Docling 258M WebGPUShares static | 163 | static | apache-2.0 | |
| DINOv3 WebShares static | 162 | static | apache-2.0 |
Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search and on Trendshift. Mindket doesn’t write or check them. Open one to read it where it was posted.
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