# ictnlp/LLaMA-Omni

<https://repo.masters-masters.com/en/repos/ictnlp/LLaMA-Omni>

[Home](https://repo.masters-masters.com/en) › [ictnlp](https://repo.masters-masters.com/en/owners/ictnlp) › [LLaMA-Omni](https://repo.masters-masters.com/en/repos/ictnlp/LLaMA-Omni)

ictnlp/LLaMA-Omni has 3,146 stars on GitHub. Its RepoMasters card: RC tier. LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model…

| Field | Value |
| --- | --- |
| Owner | [ictnlp](https://repo.masters-masters.com/en/owners/ictnlp) |
| Stars | 3,146 |
| Forks | 224 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2024 |
| Topics | large-language-models, multimodal-large-language-models, speech-language-model, speech-to-speech, speech-to-text, speech-interaction |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [ictnlp/LLaMA-Omni](https://github.com/ictnlp/LLaMA-Omni) |

## Repository

LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve speech capabilities at the GPT-4o level.

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

## More repos by ictnlp

- [ictnlp/StreamSpeech · ★ 1,293 · Python · Beta](https://repo.masters-masters.com/en/repos/ictnlp/StreamSpeech)
- [ictnlp/LLaVA-Mini · ★ 573 · Python · Alpha](https://repo.masters-masters.com/en/repos/ictnlp/LLaVA-Mini)
- [ictnlp/Stream-Omni · ★ 394 · Python · Alpha](https://repo.masters-masters.com/en/repos/ictnlp/Stream-Omni)
- [ictnlp/LLaMA-Omni2 · ★ 281 · Python · Alpha](https://repo.masters-masters.com/en/repos/ictnlp/LLaMA-Omni2)
- [ictnlp/FlexRAG · ★ 240 · Python · Prototype](https://repo.masters-masters.com/en/repos/ictnlp/FlexRAG)
- [ictnlp/Auto-RAG · ★ 234 · Python · Prototype](https://repo.masters-masters.com/en/repos/ictnlp/Auto-RAG)

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Data: GitHub · Illustration: the project’s public image, pixelated by RepoMasters.
