Update README.md
Browse files
README.md
CHANGED
|
@@ -15,6 +15,8 @@ datasets:
|
|
| 15 |
- nvidia/AudioSkills
|
| 16 |
- nvidia/AF-Think
|
| 17 |
- nvidia/AF-Chat
|
|
|
|
|
|
|
| 18 |
---
|
| 19 |
# Model Overview
|
| 20 |
|
|
@@ -72,20 +74,19 @@ Audio Flamingo 3 (AF3) is a fully open, state-of-the-art Large Audio-Language Mo
|
|
| 72 |
|
| 73 |
Extensive evaluations confirm AF3’s effectiveness, setting new benchmarks on over 20 public audio understanding and reasoning tasks.
|
| 74 |
|
|
|
|
|
|
|
| 75 |
**This model is for non-commercial research purposes only.**
|
| 76 |
|
| 77 |
|
| 78 |
## Results:
|
| 79 |
<center><img src="static/af3_radial-1.png" width="400"></center>
|
| 80 |
|
| 81 |
-
<br>
|
| 82 |
-
|
| 83 |
## Model Architecture:
|
| 84 |
Audio Flamingo 3 uses AF-Whisper unified audio encoder, MLP-based audio adaptor, Decoder-only LLM backbone (Qwen2.5-7B), and Streaming TTS module (AF3-Chat). Audio Flamingo 3 can take up to 10 minutes of audio inputs.
|
| 85 |
|
| 86 |
<center><img src="static/af3_main_diagram-1.png" width="800"></center>
|
| 87 |
|
| 88 |
-
|
| 89 |
## License / Terms of Use
|
| 90 |
The model is released under the [NVIDIA OneWay Noncommercial License](static/NVIDIA_OneWay_Noncommercial_License.docx). Portions of the dataset generation are also subject to the [Qwen Research License](https://huggingface.co/Qwen/Qwen2.5-3B/blob/main/LICENSE) and OpenAI’s [Terms of Use](https://openai.com/policies/terms-of-use).
|
| 91 |
|
|
@@ -123,21 +124,21 @@ AF3 uses:
|
|
| 123 |
**This model was developed based on [NVILA](https://github.com/NVlabs/VILA/tree/main/scripts/NVILA-Lite) and [Qwen-2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) <br>
|
| 124 |
|
| 125 |
## Input:
|
| 126 |
-
Input Type: Audio, Text <br>
|
| 127 |
-
Input Format: WAV/MP3/FLAC, UTF-8 text <br>
|
| 128 |
-
Input Parameters: Audio is Two-Dimensional (2D) and Text is One-Dimensional (1D)<br>
|
| 129 |
-
Other Properties Related to Input: <br>
|
| 130 |
-
-Max Audio Length: 10 Minutes <br>
|
| 131 |
-
-Max Text Length: 16000 tokens<br>
|
| 132 |
|
| 133 |
|
| 134 |
## Output:
|
| 135 |
-
Output Type: Text (and optional speech) <br>
|
| 136 |
-
Text Format: UTF-8 string <br>
|
| 137 |
-
Output Parameters: One-Dimensional (1D)<br>
|
| 138 |
-
Other Properties Related to Output: <br>
|
| 139 |
-
-Max Text Length: 1024 tokens <br>
|
| 140 |
-
-Speech Format: streaming TTS (text-to-speech) waveform<br>
|
| 141 |
|
| 142 |
|
| 143 |
Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems (A100/H100). By leveraging NVIDIA’s hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions. <br>
|
|
|
|
| 15 |
- nvidia/AudioSkills
|
| 16 |
- nvidia/AF-Think
|
| 17 |
- nvidia/AF-Chat
|
| 18 |
+
base_model:
|
| 19 |
+
- nvidia/audio-flamingo-3
|
| 20 |
---
|
| 21 |
# Model Overview
|
| 22 |
|
|
|
|
| 74 |
|
| 75 |
Extensive evaluations confirm AF3’s effectiveness, setting new benchmarks on over 20 public audio understanding and reasoning tasks.
|
| 76 |
|
| 77 |
+
**This model is the chat version of AF3, capable of voice chat and muiti-tun multi-audio dialogue. The non-chat version can be found [here](https://huggingface.co/nvidia/audio-flamingo-3/)**
|
| 78 |
+
|
| 79 |
**This model is for non-commercial research purposes only.**
|
| 80 |
|
| 81 |
|
| 82 |
## Results:
|
| 83 |
<center><img src="static/af3_radial-1.png" width="400"></center>
|
| 84 |
|
|
|
|
|
|
|
| 85 |
## Model Architecture:
|
| 86 |
Audio Flamingo 3 uses AF-Whisper unified audio encoder, MLP-based audio adaptor, Decoder-only LLM backbone (Qwen2.5-7B), and Streaming TTS module (AF3-Chat). Audio Flamingo 3 can take up to 10 minutes of audio inputs.
|
| 87 |
|
| 88 |
<center><img src="static/af3_main_diagram-1.png" width="800"></center>
|
| 89 |
|
|
|
|
| 90 |
## License / Terms of Use
|
| 91 |
The model is released under the [NVIDIA OneWay Noncommercial License](static/NVIDIA_OneWay_Noncommercial_License.docx). Portions of the dataset generation are also subject to the [Qwen Research License](https://huggingface.co/Qwen/Qwen2.5-3B/blob/main/LICENSE) and OpenAI’s [Terms of Use](https://openai.com/policies/terms-of-use).
|
| 92 |
|
|
|
|
| 124 |
**This model was developed based on [NVILA](https://github.com/NVlabs/VILA/tree/main/scripts/NVILA-Lite) and [Qwen-2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) <br>
|
| 125 |
|
| 126 |
## Input:
|
| 127 |
+
- Input Type: Audio, Text <br>
|
| 128 |
+
- Input Format: WAV/MP3/FLAC, UTF-8 text <br>
|
| 129 |
+
- Input Parameters: Audio is Two-Dimensional (2D) and Text is One-Dimensional (1D)<br>
|
| 130 |
+
- Other Properties Related to Input: <br>
|
| 131 |
+
- Max Audio Length: 10 Minutes <br>
|
| 132 |
+
- Max Text Length: 16000 tokens<br>
|
| 133 |
|
| 134 |
|
| 135 |
## Output:
|
| 136 |
+
- Output Type: Text (and optional speech) <br>
|
| 137 |
+
- Text Format: UTF-8 string <br>
|
| 138 |
+
- Output Parameters: One-Dimensional (1D)<br>
|
| 139 |
+
- Other Properties Related to Output: <br>
|
| 140 |
+
- Max Text Length: 1024 tokens <br>
|
| 141 |
+
- Speech Format: streaming TTS (text-to-speech) waveform<br>
|
| 142 |
|
| 143 |
|
| 144 |
Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems (A100/H100). By leveraging NVIDIA’s hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions. <br>
|