language:
- en
license: mit
library_name: transformers
Model Card for Ultravox
Ultravox is a multimodal Speech LLM built around a pretrained Whisper and Llama 3 backbone. See https://ultravox.ai for the GitHub repo and more information.
Model Details
Model Description
Ultravox is a multimodal model that can consume both speech and text as input (e.g., a text system prompt and voice user message). The input to the model is given as a text prompt with a special <|audio|> pseudo-token, and the model processor will replace this magic token with embeddings derived from the input audio. Using the merged embeddings as input, the model will then generate output text as usual.
In a future revision of Ultravox, we plan to expand the token vocabulary to support generation of semantic and acoustic audio tokens, which can then be fed to a vocoder to produce voice output. No preference tuning has been applied to this revision of the model.
- Developed by: Fixie.ai
- License: MIT
Model Sources [optional]
- Repository: https://ultravox.ai
- Demo [optional]: See repo
Uses
Voice agents, speech-to-speech translation, analysis of spoken audio
Training Details
Training Data
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Training Procedure
Preprocessing [optional]
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Training Hyperparameters
- Training regime: [More Information Needed]
Speeds, Sizes, Times [optional]
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Evaluation
Testing Data, Factors & Metrics
Testing Data
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Factors
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Metrics
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Results
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