LLaMA-Omni vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| LLaMA-Omni | ollama | |
|---|---|---|
| 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 | 3.1k | 176k |
| Forks | 223 | 17k |
| Open issues | 52 | 3.4k |
| Language | Python | Go |
| License | Apache-2.0 | MIT |
| Last pushed | May 19, 2025 | Jul 7, 2026 |
| Categories | Speech & Audio | AI Agents, LLM Frameworks |
LLaMA-Omni
This repository contains the source code for LLaMA-Omni, an innovative end-to-end speech interaction system that generates both text and speech responses based on speech inputs, with a latency as low as 226ms. It features advanced training techniques and is available in varying parameter sizes.
Python
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