Ollama is an open-source platform for running and deploying Large Language Models (LLMs) locally. Its core advantages include simplifying the LLM deployment process, providing a unified API interface, supporting multiple model formats (such as GGUF), and offering cross-platform compatibility (supporting Linux, macOS, and Windows).
Key features of Ollama include:
- Local Execution: All models run locally, protecting data privacy
- Ease of Use: Easily invoke models via command line or API
- Model Management: Supports downloading, updating, and deleting models
- API Service: Provides RESTful API for easy integration into applications
- Multi-Model Support: Supports various open-source models like Llama, Mistral, Gemma, etc.
Ollama is developed in Go language and relies on the llama.cpp library for model inference at its core. It optimizes model performance through quantization techniques, enabling large models to run on consumer-grade hardware.