ollama vs Large-Language-Model-Notebooks-Course
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| ollama | Large-Language-Model-Notebooks-Course | |
|---|---|---|
| Tagline | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. | Practical course about Large Language Models |
| Stars | 176k | 1.8k |
| Forks | 17k | 448 |
| Open issues | 3.4k | 0 |
| Language | Go | Jupyter Notebook |
| License | MIT | MIT |
| Last pushed | Jul 7, 2026 | May 28, 2026 |
| Categories | AI Agents, LLM Frameworks | Model Training, LLM Frameworks, Developer Tools |
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
Large-Language-Model-Notebooks-Course
A Jupyter Notebook-based course focusing on hands-on projects and techniques for Large Language Models (LLMs) using tools like Hugging Face, LangChain, and various fine-tuning methods. It covers topics such as chatbots, code generation, and model evaluation.
Jupyter Notebook