---
title: whispervq
canonical_url: "https://www.modelscope.cn/models/cortexso/whispervq"
md_url: "https://www.modelscope.cn/models/cortexso/whispervq.md"
repository: cortexso/whispervq
last_updated: 2025-08-30
license: apache-2.0
library_name:
  - pytorch
frameworks:
  - pytorch
downloads: 96
stars: 0
---

# whispervq

> whispervq - cortexso 在 ModelScope 开源的模型。WhisperVQ is a quantizer model and a key component of WhisperSpeech. It compresses speech into discrete tokens, enabling seamless compatibility with large language models (LLMs) for real-time speech understanding and…

cortexso/whispervq 是 ModelScope 魔搭社区上的机器学习模型，采用 apache-2.0 许可。

- **Repository**: cortexso/whispervq
- **License**: apache-2.0
- **Downloads**: 96
- **Stars**: 0
- **Last updated**: 2025-08-30

Source: https://www.modelscope.cn/models/cortexso/whispervq

---

## Overview

**WhisperVQ** 

WhisperVQ is a quantizer model and a key component of WhisperSpeech. It compresses speech into discrete tokens, enabling seamless compatibility with large language models (LLMs) for real-time speech understanding and various downstream tasks.

## Variants

| No | Variant | Cortex CLI command |
| --- | --- | --- |
| 1 | [gguf](https://huggingface.co/cortexso/whispervq/tree/main) | `cortex run whispervq` |


## Use it with Jan (UI)

1. Install **Jan** using [Quickstart](https://jan.ai/docs/quickstart)
2. Use in Jan model Hub:
    ```text
    cortexso/whispervq 
    ```
## Use it with Cortex (CLI)

1. Install **Cortex** using [Quickstart](https://cortex.jan.ai/docs/quickstart)
2. Run the model with command:
    ```bash
    cortex run whispervq 
    ```
## Credits

- **Author:** HomebrewResearch
- **Converter:** [Homebrew](https://www.homebrew.ltd/)
- **Original License:** [License]()
- **Papers:** [Paper](https://arxiv.org/abs/2410.15316)