Unverified50% confidenceFactExact time
The ratio between nominal memory and model-usable memory is not a universal formula; how much is taken varies by machine, system, drivers, and usage, and there is no all-purpose rule of "30% off."
1
Sources
50%
Confidence
Long-term
Relevance
10/25/2026
First Seen
Sources
64GB Laptop Running LLMs: Only 46.7GB Actually Usable
bilibiliAIPC煜森10/23/2026
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Related Claims
UnverifiedWhen a model runs, its weights need to be loaded into RAM (system memory) or VRAM (video memory), and having large storage capacity does not mean the model can actually run.72% similarUnverifiedIf a system has only 16 GB or 32 GB of system memory, the complete inference process may not be possible even with the same GPU model.69% similarUnverifiedThe key factors determining what models can be run are memory capacity and memory speed: memory capacity determines model size, and memory speed determines the number of tokens per second.68% similarUnverifiedDense models such as Llama 3.1 70B must pass every token through all weights, so they cannot run efficiently beyond memory when memory is insufficient.68% similar
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