Unverified50% confidenceFactExact time
When running a large language model locally, the model weights usually need to be loaded into VRAM or memory, and model sizes are often tens of GB, placing high demands on DRAM capacity.
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50%
Confidence
Long-term
Relevance
10/31/2026
First Seen
Sources
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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.77% similarUnverifiedLocalized RAG requires both the embedding model and the generative model to run on-device, placing high demands on memory bandwidth and compute, with the 740M parameter scale being a trade-off choice made in response to these constraints.74% similar
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