LabLLM
A native macOS lab for teaching tiny language models to think — build the architecture, train the weights, and watch a small LLM emerge from scratch, locally on Apple Silicon with custom data, tokenizers, checkpoints, and MLX acceleration.
Train small language models on your Mac using your own data and see them develop in real-time.
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Free · no card · unsubscribe anytimeA native macOS lab for teaching tiny language models to think — build the architecture, train the weights, and watch a small LLM emerge from scratch, locally on Apple Silicon with custom data, tokenizers, checkpoints, and MLX acceleration.
LabLLM has 82 stars on GitHub. It has been forked 1 times. LabLLM is written mainly in Swift. It has been in active development since 2026. LabLLM is available under the MIT license. Its main topics are ai, apple-silicon, artificial-intelligence, deep-learning.
What is LabLLM?
A native macOS lab for teaching tiny language models to think — build the architecture, train the weights, and watch a small LLM emerge from scratch, locally on Apple Silicon with custom data, tokenizers, checkpoints, and MLX acceleration.
Is LabLLM open source?
LabLLM is an open-source project. It is released under the MIT license.
Is LabLLM free?
Yes. LabLLM is free and open source — you can use, modify and self-host it.
What license does LabLLM use?
LabLLM is available under the MIT license.
What language is LabLLM written in?
LabLLM is written mainly in Swift.
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