self-llm vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| self-llm | ollama | |
|---|---|---|
| Tagline | 《开源大模型食用指南》 | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 31k | 176k |
| Forks | 3.0k | 17k |
| Open issues | 158 | 3.4k |
| Language | Jupyter Notebook | Go |
| License | Apache-2.0 | MIT |
| Last pushed | Jun 17, 2026 | Jul 7, 2026 |
| Categories | Inference & Serving, Model Training, Developer Tools | AI Agents, LLM Frameworks |
self-llm
此Repo提供关于众多国内外主流开源大型语言和多模态模型（如LLaMA, ChatGLM等）的教程，涵盖Linux环境配置、部署使用及微调，旨在简化其应用流程，让学习者更好地理解和应用这些前沿技术。
Jupyter Notebook
ollama
Ollama is a platform for deploying and interacting with various large language models (LLMs) such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma on macOS, Windows, Linux, and Docker environments.
Go