Discover the best tools for running local LLMs on your own hardware
| Rank | App Name | OS | Platform | Supported | Explanation |
|---|---|---|---|---|---|
| 1 | Windows / macOS / Linux | CUDA / ROCm / Metal / CPU | LLM, RAG, MCP, API | Most popular local LLM runner. Single command: 'ollama run llama3'. Automatic model management, OpenAI-compatible API, Docker support, MCP agent integration. | |
| 2 | Windows / macOS / Linux | CUDA / Vulkan / Metal / CPU | LLM, RAG, Chat, API | GUI-based local LLM client. Easy GGUF/Q4 model download and testing. Built-in chat interface, server mode for API access, model comparison tools. | |
| 3 | Windows / macOS / Linux | CUDA / Metal / Vulkan / CPU / WebGPU | LLM, Embeddings, RAG | C++ inference engine for LLMs. GGUF format standard. High performance on all hardware. Supports 3-bit to 8-bit quantization. Base for most local LLM tools. | |
| 4 | Windows / macOS / Linux | CUDA / Vulkan / Metal / CPU / WebGPU | LLM, Roleplay, RAG, Story mode | Web-based LLM frontend built on llama.cpp. Excellent for character roleplay and story mode. Smart context management, NovelAI models support, API compatible. | |
| 5 | Windows / macOS / Linux | CUDA / Metal / Vulkan / CPU | LLM, Embeddings, Image Gen | Mozilla project: self-extracting executable containing llama.cpp + models. Single file distribution. No dependencies needed. Runs on any device. Code licensed under Apache 2.0. | |
| 6 | Linux / Windows | CUDA / TensorRT / ROCm | LLM Serving, API, Batch | High-throughput LLM serving engine. PagedAttention technology for memory efficiency. Supports Llama, Mistral, Qwen, Gemma. Production-ready API, multi-GPU support. | |
| 7 | macOS | Apple Neural Engine / Metal | LLM, Fine-tuning, Inference | Apple-optimized ML framework. Best performance on Mac with Apple Silicon. Fast inference, easy fine-tuning. Supports Llama, Mistral, Gemma models natively. | |
| 8 | Windows / macOS / Linux | CUDA / Vulkan / Metal / CPU | LLM, RAG, API, Extensions | Open-source, cross-platform LLM runner. Desktop app with clean UI. Supports GGUF, Safetensors models. Extension system, local API server, offline-first design. | |
| 9 | Windows / macOS / Linux | CUDA / ROCm / Vulkan / CPU | LLM, Roleplay, RAG, Training | Feature-rich web UI for local LLMs. One-click install, extension system. Supports llama.cpp, transformers, ExLlamaV2. Training, embedding, image generation plugins. | |
| 10 | Windows / macOS / Linux / Docker | Node.js (connects to any backend) | LLM Frontend, Roleplay, RAG | Advanced LLM frontend for character roleplay. Connects to Ollama, KoboldCPP, llama.cpp, API backends. Token visualization, story mode, avatar system, extensions. | |
| 11 | Linux / Windows | CUDA | LLM Inference, High Performance | CUDA-optimized LLM inference engine. Faster than llama.cpp for FP16/A16. Supports GPTQ, AWQ, FP16 models. Best performance for NVIDIA GPUs 10XX+. | |
| 12 | Windows / macOS / Linux | CUDA / CPU | LLM, Chinese Language | llama.cpp fork optimized for Chinese language models. Supports Aquila, Baichuan, ChatGLM models. Better Chinese tokenization and context handling. | |
| 13 | Windows / macOS / Linux | CUDA / CPU | LLM, GPTQ Models | llama.cpp fork for GPTQ quantized models. Runs GPTQ models natively without conversion. Lower VRAM usage, good for 4-bit quantized models. | |
| 14 | macOS | Metal / Apple Silicon | LLM, Apple GPU Acceleration | Metal-optimized branch of llama.cpp. Best performance on Mac with Apple Silicon. Uses Metal Performance Shaders for GPU acceleration. | |
| 15 | Any (Browser) | WebGPU / WASM | LLM, Browser-based Inference | Run LLMs directly in browser via WebGPU. No server needed. Supports Phi-2, Llama, Mistral in browser. Privacy-first, fully client-side execution. | |
| 16 | Windows / macOS / Linux | CUDA / Vulkan / CPU | LLM, Lightweight Runtime | Lightweight C++ runtime inspired by Ollama. Minimal dependencies, fast startup. Good for embedded systems and edge devices. Simple API for local inference. |