LLaMA-Omni vs caveman
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| LLaMA-Omni | caveman | |
|---|---|---|
| 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. | Cuts 65% of tokens in AI coding agent responses. |
| Stars | 3.1k | 86k |
| Forks | 223 | 4.8k |
| Open issues | 52 | 370 |
| Language | Python | JavaScript |
| License | Apache-2.0 | MIT |
| Last pushed | May 19, 2025 | Jul 3, 2026 |
| Categories | Speech & Audio | Developer Tools, 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
caveman
A skill/plugin for various AI agents, including Claude Code and other platforms, reducing output tokens for more concise, direct communication while maintaining accuracy.
JavaScript