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Publisher

st_hazama714

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Overview

Android Edge AI Runtime for Unity enables Unity Android projects to run compatible GGUF-format local language models directly on the Android device.


Unity C# communicates with a native llama.cpp-based runtime through the included native shim. Local inference runs inside the Android application without requiring an HTTP server, WebSocket server, Python environment, or cloud service.


The package includes:


• A minimal Android chat sample scene

• Unity C# runtime components

• Android arm64-v8a native libraries

• UTF-8-safe multilingual text handling

• Automatic chat-template application for compatible models

• Single-flight generation control to prevent overlapping inference requests

• Runtime and model configuration options

• Setup and model-placement documentation

• Third-party license notices


GGUF model files are not included. Developers select and place their own compatible GGUF model on the Android device.


This package is intended for developers building:


• Offline-capable AI applications

• Interactive characters and virtual agents

• Local AI prototypes

• Robotics interfaces

• Edge AI demonstrations and experiments

• Unity applications that require on-device language-model inference


Requirements and limitations:


• Android only

• arm64-v8a only

• IL2CPP scripting backend required

• CPU inference backend

• Inference must be tested on an Android device

• Unity Editor inference is not supported

• Performance and memory usage depend on the Android device, model architecture, model size, quantization, context size, and runtime settings

• Compatibility with every GGUF model is not guaranteed


Third-party software:


This package uses llama.cpp and ggml under the MIT License, and LLVM libc++ under the Apache License 2.0 with LLVM Exceptions.


See the included THIRD_PARTY_NOTICES.md and license files for complete details.


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