llm-action vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| llm-action | ollama | |
|---|---|---|
| Tagline | 分享大模型技术原理与实战经验，涵盖工程化和应用落地 | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 25k | 176k |
| Forks | 2.8k | 17k |
| Open issues | 18 | 3.4k |
| Language | HTML | Go |
| License | Apache-2.0 | MIT |
| Last pushed | Jul 1, 2026 | Jul 7, 2026 |
| Categories | Inference & Serving, Evaluation & Observability, Model Training, LLM Frameworks, Developer Tools | AI Agents, LLM Frameworks |
llm-action
该项目针对各种大规模语言模型提供技术细节及实践指导，包括训练、推理优化以及其他相关领域的知识。内容涉及LLM的高效微调、分布式训练并行技术、推理框架以及性能测评等。
HTML
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