Benchmarking Pocket-Scale Inference
Benchmarking of language model inference on mobile phones. We measure output speed, latency and memory use across local models.
Summary
The article measures the performance of language model inference on mobile devices, focusing on key metrics like output speed, latency, and memory usage for local models. It provides insights into how well these models perform in a pocket-sized format, which is crucial for developers and users alike.
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