on-device-models

A list of production-ready models for resource-constrained devices.

High-performance Android SDK for on-device LLM inference (GGUF). Privacy-focused, offline-first, and powered by llama.cpp with a clean Kotlin Coroutines API.

Chrome Extension to Summarize Job Posting and Match Against your Resume using Ollama or Google Cloud Models.

Deploy a MobileNetV2 image classification model on Android by converting PyTorch to TFLite and integrating it into a Kotlin-based mobile app.

Full pipeline for training small on-device classification networks by selecting TIMM models, fine-tuning, quantizing, and testing.

Organization profile