ModelHub

Local LLMs via menu bar is the right UX switching between models shouldn't require a browser tab. Does it handle model downloads itself or do you bring your own? Curious about the memory footprint running models in the background.

Cool! Congrats on the launch

I usually encounter more issues with how to quickly validate whether a model is suitable for your scenario after obtaining it, and whether there is corresponding code that can quickly verify and reduce the time spent trying one by one. I would like to know if your tool has such a function or scenario.

Does ModelHub also track which models are actually being used so you can archive the ones you never run?

Does ModelHub handle quantization format filtering during discovery — like surfacing only Q4_K_M builds based on available VRAM, or is model selection still manual?

I like that this isn’t trying to become another LM Studio or Ollama replacement. Simpler UI to just manage my local LLMs.Was that an intentional product call from day one? Also, do you see this becoming more recommendation-driven, like “best models for your Mac” based on chip/memory?

Quick one on storage - if I've already pulled Qwen 32B via Ollama and then discover it again in ModelHub, do you dedupe against the existing local file? Or do I end up with two copies eating 20GB? Well done guys overall

Congrats on the launch!

Hey folks! We built modelhub to manage your cluttered local models! Do check it out and give us valuable feedback! :D

Congrats on the launch! 🚀 Having one unified menu bar app to manage models across Ollama, LM Studio, and MLX makes organizing and discovering Hugging Face models way cleaner.The "Runs on this Mac" hardware checker sounds incredibly useful before committing to a massive download. Can't wait to give this a spin!

The 'Runs on this Mac' feature for checking if a model can run on the hardware that I have is my favourite part! That's usually the first thing I want to know before downloading some huge model. Two things I'd love to see: more pre-download details like license, context length, and RAM estimate, and a quick way to open the original Hugging Face model card from inside the app.

Congrats on the launch! Having one place to manage across Ollama, MLX, and llama.cpp is something I've been doing by hand for too long. Gonna give this a try.

I have lmstudio already and Unsloth and would like to share models across.

What does this do then? Does this solve for what I am looking for?

Hey Product Hunt 👋

We built ModelHub because local AI on Mac is getting good fast but the
workflow around models still feels scattered.

Ollama makes running local models simple. MLX makes Apple Silicon a stronger platform for inference. LM Studio gives people a great local model workspace. Hugging Face has the model ecosystem.

But as developers, we kept running into the same problem:

Finding the right model, checking the right format, downloading it, remembering what was installed, switching between Ollama, MLX, LM Studio, Hugging Face, and local folders, and keeping everything organized still involved too many tabs, terminal commands, and disconnected tools.

So we built ModelHub: a native macOS menu bar app for discovering, downloading, and managing local LLMs from Hugging Face, then using them with Ollama, MLX, LM Studio, llama.cpp, and the tools you already use.

It is not trying to replace Ollama, MLX, LM Studio, or llama.cpp.

It is meant to sit beside them.

Think of it as the missing model manager for your local AI setup.

We’d love feedback from:

- Developers running models locally on Mac
- Ollama users
- LM Studio users
- MLX / Apple Silicon builders
- People testing coding models locally
- Anyone who has too many model files sitting in random folders

Specific feedback we’re looking for:

1. What model metadata matters most before downloading?
2. Should we prioritize Ollama, MLX, LM Studio, or all workflows equally?
3. What would make this useful enough to keep in your menu bar app every day?

Thanks for checking it out. We’ll be in the comments all day.