---
title: "LLaMA-Omni vs ollama"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/ictnlp-llama-omni-vs-ollama-ollama"
tools: ["ictnlp-llama-omni", "ollama-ollama"]
---

# LLaMA-Omni vs ollama

Neutral, constraint-first comparison with live GitHub stats.

| | [LLaMA-Omni](/tools/ictnlp-llama-omni.md) | [ollama](/tools/ollama-ollama.md) |
| --- | --- | --- |
| Tagline | LLaMA-Omni is a speech interaction model built upon Llama-3.1-8B-Instruct, allowing for seamless low-latency speech-to-speech and speech-to-text interactions. | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 3,141 | 175,664 |
| Forks | 223 | 16,872 |
| Open issues | 52 | 3,378 |
| Language | Python | Go |
| License | Apache-2.0 | MIT |
| Categories | Speech & Audio | AI Agents, LLM Frameworks |

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=ictnlp-llama-omni`](/api/graphcanon/graph?tool=ictnlp-llama-omni)
- 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/_