Unverified50% confidenceSolutionExact time
You can roughly estimate the number of tokens generated per second by dividing model size by memory bandwidth.
1
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50%
Confidence
Long-term
Relevance
10/17/2026
First Seen
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Related Claims
UnverifiedInference speed (tokens/second) ≈ memory bandwidth ÷ model size74% similarUnverifiedFor a 7-billion-parameter model as an example, LoRA may only need to update 0.1% to 1% of the parameters, reducing the required VRAM from hundreds of GB to a level runnable on consumer-grade GPUs such as the RTX 4090.71% similarUnverifiedEvery time a model generates a token, the entire model must be read completely from memory, yielding the speed upper bound: memory bandwidth ÷ model size.70% similarUnverifiedBandwidth-bound means data transfer speed cannot keep up with computation speed, which is common in scenarios with large weights but low compute volume (such as single-step LLM decoding), and quantization to compress weight size is an effective approach.70% similarUnverifiedOn-device models are typically compressed to tens to hundreds of megabytes in size, relying on fixed rules and lightweight neural networks.70% similar
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