Mindket

MLX Model Explorer

Newversion 1 · updated

Overview

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.

At a glance

You need
  • A web browser, which is all the online page needs
  • Python with pip, only if you want the files on your own computer
Runs in
  • A web browser, on the Space's page on Hugging Face
  • A web browser on Windows, macOS or Linux, from a local copy of index.html
Start with
pip install -U huggingface_hub
hf download mlx-community/mlx-model-explorer --repo-type space --local-dir mlx-model-explorer
cd mlx-model-explorer

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

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.

IndustryWho uses itHow they use itExample
SoftwareDevelopers on a MacFind a model and quantization before downloading oneLook for a model that suits their Mac
AI researchResearchersBrowse the models that the mlx-community sharesCompare the options on the page
Hobby useLocal-AI fansChoose a size that their Mac can handleOpen 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

  • A web browser, on the Space's page on Hugging Face
  • A web browser on Windows, macOS or Linux, from a local copy of index.html
Use caseWhoWhat they get back
Pick a modelMac usersA model and quantization that fit their Mac
Browse the optionsResearchersA view of the models in the mlx-community dataset

How to set it up

  • A web browser, which is all the online page needs
  • Python with pip, only if you want the files on your own computer
  1. Open the Space's page on Hugging Face to use it online. Nothing needs installing.
  2. For a local copy, install the Hugging Face hub package with pip.
  3. Download the Space's files into a folder named mlx-model-explorer.
  4. Move into that folder and open index.html in a web browser.
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.

  1. You open index.html in a browser
  2. The page loads the explorer dataset
  3. You look for a model and quantization
  4. 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.

  • License: MIT
  • Cost to run: none named
  • Data it reaches: the mlx-community/mlx-model-explorer-data dataset

README and files

README

MLX Model Explorer

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.

About

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:

  • A web browser, on the Space's page on Hugging Face
  • A web browser on Windows, macOS or Linux, from a local copy of index.html
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:

  • A web browser, which is all the online page needs
  • Python with pip, only if you want the files on your own computer
  1. Open the Space's page on Hugging Face to use it online. Nothing needs installing.
  2. For a local copy, install the Hugging Face hub package with pip.
  3. Download the Space's files into a folder named mlx-model-explorer.
  4. Move into that folder and open index.html in a web browser.
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.

  • License: MIT
  • Cost to run: none named
  • Data it reaches: the mlx-community/mlx-model-explorer-data dataset

On Hugging Face, 13 November 2026

  • Likes: 39
  • Built with: static
  • License: mit

Links

Try it

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.

Files
README.md  4 KB

1 file, 4 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

Listed Hugging Face Spaces in the same category that share the most tags with this one.

ProductLikesBuilt withLicenseLast change
MLX Model Explorer This page39staticmit
InferenceSupportShares static764staticafl-3.0
HuggyShares static463staticcc-by-nc-sa-4.0
Z-Image Lookalike LoRA IndexShares static189staticapache-2.0
Granite Docling 258M WebGPUShares static163staticapache-2.0
DINOv3 WebShares static162staticapache-2.0
Numbers as Mindket last read them, on 2026-11-12.

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What people say

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