Yagna1/functiongemma-270m-mobile-actions

TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:0.3BQuant:BF16Context Size:32kPublished:Dec 19, 2025License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold

Yagna1/functiongemma-270m-mobile-actions is a 270 million parameter FunctionGemma model, fine-tuned for on-device function calling on Android devices. Optimized with INT8 quantization and an extended 1024-token KV cache, it enables low-latency execution of 6 native Android functions like flashlight control, contact creation, and map display. This model is specifically designed for deployment via Google AI Edge Gallery and LiteRT-LM runtime, facilitating offline mobile actions.

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Overview

Yagna1/functiongemma-270m-mobile-actions is a specialized 270 million parameter model, derived from Google's FunctionGemma, and fine-tuned for on-device function calling within Android environments. It is pre-converted to the .litertlm format, making it ready for immediate deployment using the Google AI Edge Gallery and LiteRT-LM runtime. The model is optimized with INT8 quantization, resulting in a compact size of approximately 271 MB, and features an extended KV cache of 1024 tokens for efficient mobile performance and longer conversations.

Key Capabilities

  • On-device Function Calling: Executes functions directly on Android devices without requiring an internet connection.
  • Optimized for Mobile: INT8 quantization and .litertlm format ensure efficient deployment and low latency on ARM-based Android devices.
  • Native Android Actions: Supports 6 specific Android functions:
    • Flashlight control
    • Contact creation
    • Email sending
    • Map display
    • WiFi toggling
    • Calendar event creation
  • Natural Language Interface: Translates natural language prompts into structured function calls.

Use Cases and Limitations

This model is ideal for developers looking to integrate offline, voice-controlled actions into Android applications, particularly within the Google AI Edge ecosystem. It excels at mapping natural language commands to predefined device functionalities. However, it is currently limited to the 6 specified Android functions, supports only the English language, and may not handle complex multi-step actions or function parameters that deviate from its expected schema. It requires an Android device with ARMv8-A or newer architecture.

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