Ollama Local LLM Server is a one-click solution to run Ollama-powered large language models locally with Node.js and WebSocket support. This project provides a lightweight server.js setup that enables real-time communication between clients and your local AI model.
Ollama-Local-LLM-Server is a dedicated environment for hosting and managing Large Language Models locally. By leveraging Ollama, this server provides a robust, low-latency API for local applications, enabling developers to build AI-powered tools without recurring costs or privacy risks.
- 100% Privacy: Your data never leaves your local hardware.
- Zero Cost: Unlimited inference without per-token API fees.
- Offline Ready: Operates perfectly in air-gapped or low-connectivity environments.
- Standardized API: Fully compatible with OpenAI-style endpoints for easy integration.
- Multi-Model Support: Easily switch between Llama 3, Mistral, CodeLlama, and Gemma.
- Automated Management: Scripts for model pulling, updates, and pruning.
- Resource Optimization: Configured for optimal performance on WSL2/Ubuntu.
- REST API Access: Exposes ports for integration with AI-Generator.
- Core Engine: Ollama
- Inference Library: llama.cpp
- OS: Ubuntu (WSL2)
- API: REST / JSON
# Start the server
ollama serve
# Run a specific model
ollama run llama3
# View active models
ollama list