BayLing-Speech
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.
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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.
BayLing-Speech has 3.1k stars on GitHub. It has been forked 224 times. BayLing-Speech is written mainly in Python. It has been in active development since 2024. BayLing-Speech 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 BayLing-Speech?
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 BayLing-Speech open source?
BayLing-Speech is an open-source project. It is released under the Apache-2.0 license.
Is BayLing-Speech free?
Yes. BayLing-Speech is free and open source — you can use, modify and self-host it.
What license does BayLing-Speech use?
BayLing-Speech is available under the Apache-2.0 license.
What language is BayLing-Speech written in?
BayLing-Speech is written mainly in Python.
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