audiobox-aesthetics
This model has been pushed to the Hub using the PytorchModelHubMixin integration: - Code: https://github.com/facebookresearch/audiobox-aesthetics - Paper: https://huggingface.co/papers/2502.05139
Params
100 M
Context
—
Downloads 30d
641 K
Likes
51
Download history
daily snapshots · 55 days
▲ 169 K in the last 30 days (35.7%)
641 K465 K
Aug 22Sep 1Sep 11Sep 20
641 K321 K
Jul 28Aug 15Sep 2Sep 20
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | f32 | 0.4 GB | 1.0 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Parameters
- 100 M
- Tensor type
- F32
- Licence
- cc-by-4.0
- First seen on the Hub
- 2025-02-13
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Compare with any audio-classification model