# vocos-mel-24khz by Charactr Inc.: Open-Weight Model
Source: https://savrn.com/models/vocos-mel-24khz
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

---

## SAVRN's Notes on vocos-mel-24khz

Fifty-four megabytes, one weight file, MIT license: vocos-mel-24khz is a neural vocoder that reconstructs 24 kHz audio from mel spectrograms in a single forward pass, and its 2.9M monthly downloads come from pipeline builders, not card renters. The listing publishes no parameter count, no context and no runs-on table because none are needed — this runs on a CPU, at a twentieth the footprint of even the small ASR checkpoints on this list.

The job definition matters: Vocos turns acoustic features into waveforms, so it pairs with whatever generates the mel — a TTS acoustic model, a codebook decoder — and its speed is the point. MIT permits commercial use and modification with the notice kept. The repository is four files and has been quiet since October 2023; pin it and forget it.

SAVRN Research

## Model Card

By Charactr Inc., published under mit, revision 0feb3fdd929b.

### Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis

[Audio samples](https://charactr-platform.github.io/vocos/) | Paper [[abs]](https://arxiv.org/abs/2306.00814) [[pdf]](https://arxiv.org/pdf/2306.00814.pdf)

Vocos is a fast neural vocoder designed to synthesize audio waveforms from acoustic features. Trained using a Generative Adversarial Network (GAN) objective, Vocos can generate waveforms in a single forward pass. Unlike other typical GAN-based vocoders, Vocos does not model audio samples in the time domain. Instead, it generates spectral coefficients, facilitating rapid audio reconstruction through inverse Fourier transform.

### Installation

To use Vocos only in inference mode, install it using:

```
pip install vocos
```

If you wish to train the model, install it with additional dependencies:

```
pip install vocos[train]
```

### Usage

#### Reconstruct audio from mel-spectrogram

```
import torch

from vocos import Vocos

vocos = Vocos.from_pretrained("charactr/vocos-mel-24khz")

mel = torch.randn(1, 100, 256)  # B, C, T
audio = vocos.decode(mel)
```

Copy-synthesis from a file:

[Read the full model card (210 words)](https://savrn.com/models/vocos-mel-24khz/card)

## Identity and Version

Repository

charactr/vocos-mel-24khz

Publisher

Charactr Inc.

Task

Not stated by the source

Modality

Other

Library

Not stated by the source

Parameters

Not stated by the source

Languages

Not stated by the source

Revision

0feb3fdd929bcd6649e0e7c5a688cf7dd012ef21

First published

2023-06-11

Last updated

2023-10-17

## Files and Weights

4 files, 54.4 MB in total. The weights are 1 file totalling 54.4 MB in bin.

Weights1 file · 54.4 MB

Configuration1 file · 461 B

Documentation1 file · 1.8 KB

Repository1 file · 1.5 KB

Every file

| File | Type | Size | SHA-256 |
| --- | --- | --- | --- |
| pytorch_model.bin | Weights | 54.4 MB | 97ec976ad1fd |
| config.yaml | Configuration | 461 B | — |
| README.md | Documentation | 1.8 KB | — |
| .gitattributes | Repository | 1.5 KB | — |

## License and Download

License

mit

Access

Open weights, no gate

Download size

54.4 MB

[Download from Charactr Inc.](https://huggingface.co/charactr/vocos-mel-24khz)

Released by Charactr Inc. through its official repository on Hugging Face. [Read the license](https://opensource.org/license/mit).

## Built From

- Described by arXiv:2306.00814

## Memory Requirements

| Precision | Weights in memory |
| --- | --- |
| As published | 54.4 MB |

Weights only, from the published parameter count; the key-value cache and runtime add to this.

## Questions About vocos-mel-24khz

### Can I use vocos-mel-24khz commercially?

Yes. vocos-mel-24khz is released under MIT License. The MIT License is a short permissive license. It permits commercial use, modification and redistribution, provided the copyright notice and permission notice are included.

## Charactr Inc.

[All models and datasets](https://savrn.com/model-publishers/charactr)

## Versions

- [0feb3fdd929b](https://savrn.com/models/vocos-mel-24khz/versions/0feb3fdd929b) · current 2026-10-25

## Explore More

- [All models under mit](https://savrn.com/models/licenses/mit)
- [Model comparisons](https://savrn.com/models/comparisons)
- [The model directory](https://savrn.com/models)
- [Open model prices by host](https://savrn.com/ai-index/pricing/open-models)

## Source

- Repository metadata, read 2026-10-19.
- [Hugging Face record](https://huggingface.co/charactr/vocos-mel-24khz)
- [How the hub is built](https://savrn.com/model-hub/methodology)