---
title: "airllm vs ollama"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/lyogavin-airllm-vs-ollama-ollama"
tools: ["lyogavin-airllm", "ollama-ollama"]
---

# airllm vs ollama

Neutral, constraint-first comparison with live GitHub stats.

| | [airllm](/tools/lyogavin-airllm.md) | [ollama](/tools/ollama-ollama.md) |
| --- | --- | --- |
| Tagline | Repository for running large language models with reduced memory usage on limited GPU hardware. | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 22,229 | 175,664 |
| Forks | 2,556 | 16,872 |
| Open issues | 106 | 3,378 |
| Language | Jupyter Notebook | Go |
| License | Apache-2.0 | MIT |
| Categories | Inference & Serving, Model Training | AI Agents, LLM Frameworks |

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=lyogavin-airllm`](/api/graphcanon/graph?tool=lyogavin-airllm)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_