Hands-On-Large-Language-Models vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| Hands-On-Large-Language-Models | ollama | |
|---|---|---|
| Tagline | Code repository for Hands-On Large Language Models | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 27k | 176k |
| Forks | 6.4k | 17k |
| Open issues | 37 | 3.4k |
| Language | Jupyter Notebook | Go |
| License | Apache-2.0 | MIT |
| Last pushed | Apr 24, 2026 | Jul 7, 2026 |
| Categories | Developer Tools, LLM Frameworks | AI Agents, LLM Frameworks |
Hands-On-Large-Language-Models
This repository contains the code and Jupyter Notebook examples from Jay Alammar and Maarten Grootendorst’s O'Reilly publication 'Hands-On Large Language Models', providing practical insights into using Large Language Models.
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