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Wza3
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README.md
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license: apache-2.0
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language:
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- en
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tags:
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library_name: metavoice
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inference: false
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---
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MetaVoice-1B is a 1.2B parameter base model trained on 100K hours of speech for TTS (text-to-speech). It has been built with the following priorities:
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## Optimizations
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The model supports:
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1. KV-caching via Flash Decoding
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2. Batching (including texts of different lengths)
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license: apache-2.0
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language:
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- en
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- ar
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tags:
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- pretrained
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- text-to-speech
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library_name: metavoice
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inference: false
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datasets:
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- HuggingFaceM4/WebSight
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- fka/awesome-chatgpt-prompts
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---
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MetaVoice-1B is a 1.2B parameter base model trained on 100K hours of speech for TTS (text-to-speech). It has been built with the following priorities:
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## Optimizations
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The model supports:
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1. KV-caching via Flash Decoding
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2. Batching (including texts of different lengths)
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