Explore the definitive 2026 guide to Local LLM tools, organized by use case. Discover the best on-device AI for content creation, coding, data analysis, and more, complete with performance benchmarks.
Table of Local LLM Tools with Download Links
| Tool Name | Project Download / Website | Installation Notes |
|---|---|---|
| Ollama | ollama.com | Download the installer for macOS, Windows, or Linux. Run models via terminal command (e.g., ollama run llama3). |
| LM Studio | lmstudio.ai | Download the desktop installer. Use the “Discover” tab to find and download models directly within the app. |
| Jan | jan.ai | Download the desktop client. It includes a built-in model library and runs on the universal Cortex engine. |
| GPT4All | gpt4all.io | Install the desktop application. Includes a built-in downloader and local RAG capabilities for documents. |
| text-generation-webui | GitHub Releases | Best installed via the “Portable builds” found on its GitHub repository to avoid complex dependency management. |
| LocalAI | GitHub / Docker | Typically deployed via Docker. Functionally acts as a drop-in replacement for the OpenAI API. |
| vLLM | vllm.ai | Enterprise-grade inference engine. Usually installed as a Python library or Docker container for high-throughput serving. |
| MLX | GitHub / PyPI | Apple’s open-source framework. Installable via Python (pip install mlx) for native optimization on Apple Silicon. |
| SillyTavern | docs.sillytavern.app | A frontend interface. Requires a separate backend (like Ollama or a cloud API) to function. Documentation provides installation scripts. |