|
--- |
|
license: mit |
|
language: |
|
- en |
|
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 |
|
|
|
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> |
|
|
|
[More Information Needed] |
|
|
|
### Training Procedure |
|
|
|
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> |
|
|
|
#### Preprocessing [optional] |
|
|
|
[More Information Needed] |
|
|
|
|
|
#### Training Hyperparameters |
|
|
|
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> |
|
|
|
#### Speeds, Sizes, Times [optional] |
|
|
|
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> |
|
|
|
[More Information Needed] |
|
|
|
## Evaluation |
|
|
|
<!-- This section describes the evaluation protocols and provides the results. --> |
|
|
|
### Testing Data, Factors & Metrics |
|
|
|
#### Testing Data |
|
|
|
<!-- This should link to a Dataset Card if possible. --> |
|
|
|
[More Information Needed] |
|
|
|
#### Factors |
|
|
|
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> |
|
|
|
[More Information Needed] |
|
|
|
#### Metrics |
|
|
|
<!-- These are the evaluation metrics being used, ideally with a description of why. --> |
|
|
|
[More Information Needed] |
|
|
|
### Results |
|
|
|
[More Information Needed] |
|
|
|
#### Summary |
|
|
|
|
