Launching today

TokenAssemble

Launching today

Assemble the right local AI stack for your hardware

2 followers

Assemble the right local AI stack for your hardware

2 followers

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TokenAssemble tells you which local LLMs your GPU, Mac, or mini-PC can run before you download a model or buy new hardware. It evaluates VRAM or unified-memory fit, quantization, context length, expected speed, and runtime compatibility, then gives you a clear verdict and recommended setup for tools like Ollama, LM Studio, llama.cpp, and vLLM.

Free

Launch tags:Developer Tools•Artificial Intelligence•Tech

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Framer AI AgentsDesign and publish professional sites with AI

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Maker

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I built TokenAssemble after repeatedly seeing the same question: “Can my hardware actually run this model?” Model cards rarely translate parameter counts, quantization, context length, and runtime overhead into a practical answer. TokenAssemble turns those inputs into a clear fit verdict, expected performance tier, and recommended configuration. I’d love feedback on the accuracy, missing hardware or models, and which comparison tools would be most useful next.

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1d ago

ran my macbook through it and honestly the context length breakdown was more useful than i expected, saved me from grabbing a 70b model that would've crawled.

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5h ago