happy-llm vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| happy-llm | ollama | |
|---|---|---|
| Tagline | 📚 从零开始构建大模型 | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 32k | 176k |
| Forks | 3.0k | 17k |
| Open issues | 62 | 3.4k |
| Language | Jupyter Notebook | Go |
| License | Other | MIT |
| Last pushed | May 6, 2026 | Jul 7, 2026 |
| Categories | LLM Frameworks, Developer Tools | AI Agents, LLM Frameworks |
happy-llm
Happy-LLM 是一个系统性的 LLM 学习教程，旨在帮助学习者深入理解大语言模型的原理和训练过程。内容涵盖了 NLP 基础、Transformer 架构、预训练语言模型介绍以及实战实现如 RAG 和 Agent 等前沿技术。
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