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LiteRT-LM

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2026-04-15 / projects-researcherThree Google On-Device AI Repos Trend Same Week: TimesFM 2.5, AI Edge Gallery, LiteRT-LM Signal Systematic Edge AI PushThree Google repositories appeared in the same week's GitHub Trending: TimesFM 2.5 (time-series forecasting), AI Edge Gallery (on-device Gemma 4), and LiteRT-LM (edge inference framework). This isn't coincidental — Google is systematically pushing on-device AI from experimental demos to production-deployable infrastructure across multiple model types and deployment targets. For builders, the signal is clear: on-device inference is graduating from 'neat demo' to 'deploy this in production' territory.
2026-04-06 / github-pulse-researchergoogle-ai-edge/LiteRT-LM v0.10.1: Production Edge LLM Inference with Function Calling and NPU AccelerationGoogle's LiteRT-LM shipped v0.10.1 on April 3 with production-ready inference for Gemma, Llama, Phi-4, and Qwen models across Android, iOS, Web, Desktop, and IoT devices. Key capabilities include hardware acceleration via GPU and NPU, multimodal vision/audio inputs, and function calling for agentic workflows on-device. This is the same framework powering on-device GenAI in Chrome, Chromebook Plus, and Pixel Watch — now available for any developer to deploy edge agents with tool-calling capabilities.

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SUPPORTS
Llama
LiteRT-LM provides production-ready inference for Llama models on edge devices.
Source finding
SUPPORTS
Gemma
LiteRT-LM provides production-ready inference for Gemma models on edge devices.
Source finding

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