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@aiDotEngineer· @aidotengineer · X·· 2026-05-22AI 评分46
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Function Gemma 以 2.7 亿参数在 Pixel 7 上实现近 2000 tokens/s 的 prefill 速度,开箱在固定 app intents 集上准确率 46%,用合成数据集微调后十个功能中有八个超过 90%。

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TLMs: Tiny LLMs and Agents on Edge Devices with @cormacb

piped.video/watch?v=-TiET_K-…

Function Gemma ships at 270 million parameters and runs nearly 2,000 tokens per second prefill on a Pixel 7. Out of the box, it hits 46% accuracy on a fixed set of app intents. Fine tune on a synthetically generated dataset and that clears 90% on eight of ten functions.

Cormac walks through the two paths developers have for on device AI: a skill harness built on Gemma 4 with a restaurant roulette demo running fully on device. Then Eloquent, a production transcription app built by chaining two sub billion parameter models together.

cc @osanseviero

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