LLaMA-Omni
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.
Interact with a speech-language model that generates text and speech responses based on spoken instructions.
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Free · no card · unsubscribe anytimeLLaMA-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.
LLaMA-Omni has 3.1k stars on GitHub. It has been forked 224 times. LLaMA-Omni is written mainly in Python. It has been in active development since 2024. LLaMA-Omni is available under the Apache-2.0 license. Its main topics are large-language-models, multimodal-large-language-models, speech-interaction, speech-language-model.
What is LLaMA-Omni?
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.
Is LLaMA-Omni open source?
LLaMA-Omni is an open-source project. It is released under the Apache-2.0 license.
Is LLaMA-Omni free?
Yes. LLaMA-Omni is free and open source — you can use, modify and self-host it.
What license does LLaMA-Omni use?
LLaMA-Omni is available under the Apache-2.0 license.
What language is LLaMA-Omni written in?
LLaMA-Omni is written mainly in Python.
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