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%。
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
来源:@aiDotEngineer · x.com