Supports local deployment of Llama 3, Code Llama, and other language models, enabling users to customize and create personalized models. Ideal for AI development, it offers flexibility for offline AI needs and integrates AI writing and chatbot tools in local setups.
United States
Enables running large language models entirely offline on desktop with integrated chat UI, OpenAI-compatible server, HuggingFace downloads, model discovery, support for multiple LLM formats and architectures, local privacy, GPU/CPU operation, and quick setup.
United States
Maid is a cross-platform Flutter app for interfacing with GGUF / llama.cpp models locally, and with Ollama and OpenAI models remotely.
The main goal of llama.cpp is to enable LLM inference with minimal setup and state-of-the-art performance on a wide range of hardware - locally and in the cloud.
Bulgaria
EU
OptiQ is an MLX-native toolkit for running large language models on Apple Silicon. No PyTorch, no CUDA, no cloud.
The Swiss Army Knife of offline AI. Chat, speak, and generate images. Privacy first, zero internet. Download an LLM and use it on your mobile device. No data ever leaves your phone.
India
China
Experience the power of RWKV models directly on your device. Completely offline, privacy-first, and efficient. No internet required.
China
LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar.
South Korea
Run LLMs on device or connect to various commercial or open source APIs. ChatterUI aims to provide a mobile-friendly interface with fine-grained control over chat structuring.
MLC LLM is a machine learning compiler and high-performance deployment engine for large language models. The mission of this project is to enable everyone to develop, optimize, and deploy AI models natively on everyone’s platforms.
