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.
I built TokenAssemble after repeatedly seeing the same question: βCan my hardware actually run this model?β
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.
Iβd love feedback on the accuracy, missing hardware or models, and which comparison tools would be most useful next.
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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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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.