---
license: mit
library_name: vokra
tags:
  - vokra
  - gguf
---

# emotion2vec (Vokra GGUF)

Converted to the Vokra GGUF format for [Vokra](https://github.com/ayutaz/vokra), a zero-dependency speech-AI inference runtime.

**This is a conversion, not a new model.** The weights are the upstream ones; Vokra re-packages them so its runtime can memory-map them directly. Credit for the model belongs upstream — see *Source* below.

## Files

| File | Size | SHA-256 |
|---|---|---|
| `model.gguf` | 618.5 MB | `052efcdaa000208933bfe1633ae81115fa9aa05b043920bb1cfa92f2827f02bc` |

## Usage

```bash
# Download (any HTTP client works — the file is a plain GGUF)
curl -L -o model.gguf \
  https://huggingface.co/vokra/emotion2vec/resolve/main/model.gguf
```

```bash
vokra-cli run --model model.gguf --input input.wav
```

## Provenance

| Field | Value |
|---|---|
| Architecture | `emotion2vec` |
| Tensors | 185 |
| Upstream source | emotion2vec/emotion2vec_plus_large |
| Upstream licence | `mit` |
| Licence class | `permissive` |
| Registry model id | `emotion2vec-plus-large` |
| Vokra GGUF schema | 1 |
| Converted by | vokra-core 0.1.0-alpha.0 |

Every row above is read out of this file's own `vokra.*` metadata, so the card cannot claim something the artifact does not carry.

## Licence

The weights are distributed under **mit**, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.

## Verifying this file

```bash
shasum -a 256 model.gguf
# expect: 052efcdaa000208933bfe1633ae81115fa9aa05b043920bb1cfa92f2827f02bc
```