ModelHub is a native macOS menu bar app for developers working with local LLMs. It helps you discover models from Hugging Face, download the right local build, manage your model library, and use Hugging Face models with Ollama, MLX, LM Studio, llama.cpp, and the tools you already have without bouncing between browser tabs, terminal commands, model cards, and local folders. Ollama, MLX, and LM Studio are great tools. ModelHub is the missing discovery and management layer around them.
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I've been bouncing between Hugging Face tabs and Ollama CLI way too often. Having a single menu bar app that handles discovery + download + management sounds like exactly the missing layer. Curious if it supports quantized model filtering (like GGUF Q4 vs Q8) — that's usually the first thing I check before pulling a model locally.
@xiaosong001 We plan to improve upon the Explore tab to make it support nuanced options like these soon, so it's helpful for you to do the filtering! Currently you can check "runs on this mac" option to get MLX models that can fit on your mac.
Hey Priyanshu, was poking around ModelHub's page and the "workflow around models still feels scattered" line nailed something I've been quietly annoyed by. one thing I wanted to ask, when you sit on top of Ollama, MLX, and LM Studio together, are you reading their model configs in place or maintaining a unified registry that gets synced? where the source of truth lives is the part I'd want to understand.
@axlerodd Hey! How this works is just a simple list of items present in default directories of these apps. We plan to add a few more customizations here later.
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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?
@lakshminath_dondeti If you already use LM Studio and Unsloth, ModelHub is not meant to replace them.
The idea is to make the model layer easier to manage across tools.
So instead of models being scattered across LM Studio, Hugging Face cache, manual folders, and different runtime formats, ModelHub helps you discover, download, and manage models in one place while keeping them usable with tools like LM Studio, Ollama, MLX, llama.cpp, etc.
Curious: what are you trying to solve right now?
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@tushaarmehtaa A few things.
1) I would like to make notes on which model did well for a particular use case.
2) would like to store the context window, system prompt, and other parameters that worked well.
3) want to delete old models that I haven’t used or because a better version maybe available to manage space better
Those are some notes off the top of my head. 🙏
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Now that I’ve said, I might try to build this sometime soon. 😅
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This feels like the right layer to exist around local LLM tooling. The hard part with local models is more than“can I run it?” It's knowing which build fits the machine, what licence applies, where it was downloaded, whether it duplicates something already installed, and what worked for a previous task. I’d be especially interested in metadata around commercial use, context length, RAM estimate, quantisation, and notes per model/use case.
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this is a very practical tool , keeping local models organized is a real pain.
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've been bouncing between Hugging Face tabs and Ollama CLI way too often. Having a single menu bar app that handles discovery + download + management sounds like exactly the missing layer. Curious if it supports quantized model filtering (like GGUF Q4 vs Q8) — that's usually the first thing I check before pulling a model locally.
ModelHub
@xiaosong001 We plan to improve upon the Explore tab to make it support nuanced options like these soon, so it's helpful for you to do the filtering! Currently you can check "runs on this mac" option to get MLX models that can fit on your mac.
Sipcode
Hey Priyanshu, was poking around ModelHub's page and the "workflow around models still feels scattered" line nailed something I've been quietly annoyed by. one thing I wanted to ask, when you sit on top of Ollama, MLX, and LM Studio together, are you reading their model configs in place or maintaining a unified registry that gets synced? where the source of truth lives is the part I'd want to understand.
ModelHub
@axlerodd Hey! How this works is just a simple list of items present in default directories of these apps. We plan to add a few more customizations here later.
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?
ModelHub
@mayank_thakur8 yes, it was intentional :)
and i think in the next version we’ll probably add things like best models for your mac, models to try, and trending models.
really liked that approach and the feature suggestions you shared.
ModelHub
@lakshminath_dondeti If you already use LM Studio and Unsloth, ModelHub is not meant to replace them.
The idea is to make the model layer easier to manage across tools.
So instead of models being scattered across LM Studio, Hugging Face cache, manual folders, and different runtime formats, ModelHub helps you discover, download, and manage models in one place while keeping them usable with tools like LM Studio, Ollama, MLX, llama.cpp, etc.
Curious: what are you trying to solve right now?
this is a very practical tool , keeping local models organized is a real pain.
@vipul_kumar1280 exactly
@vipul_kumar1280 Absolutely! It make manging and organizing local models much easier👍
Foyer
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.
ModelHub
@fberrez1 Awesome - do try us and let us know how you like it! Happy to hear feedback!