[GitHub] ollama/ollama

This article introduces an open-source tool project developed in the Go language, whose primary function is to help users quickly deploy and run various mainstream large language models, including Kimi-K2.5, GLM-5, MiniMax, DeepSeek, GPT-oss, Qwen, and Gemma. By encapsulating complex configurations and dependency environments, the project simplifies the startup and integration process of models, providing developers with a one-stop solution for running multiple models. Key information includes: the project is implemented in Go, featuring efficient concurrent processing and cross-platform capabilities; it has received over 170,000 GitHub stars, reflecting its widespread attention and recognition within the developer community; and its supported models cover representative open-source and commercial large models from both domestic and international sources. The technical highlights lie in its integration of diverse AI models and the potential to reduce usage differences between models through a unified interface. The project's impact is that it significantly lowers the technical barriers for local testing, integration, or secondary development of large models, contributing to rapid prototyping of AI applications and enabling practical comparisons across multiple models.