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vokra/
mimi

Name: mimi
Availability: InStock

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mimi (Vokra GGUF)

Neural audio codec model, converted to the Vokra GGUF format for 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
`mimi.gguf`	864.4 MB	`8fc9b2113a0dfe96209e5380b0e64acc89c937e3fe1ecb98703ba1c75a921bb0`

Usage

bash

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

bash

# This artifact is consumed by another engine rather than run
# standalone — see the Vokra docs for the CODEC pipeline.

Provenance

Field	Value
Architecture	`mimi`
Tensors	603
Upstream source	kyutai/moshiko-pytorch-bf16 tokenizer-e351c8d8-checkpoint125.safetensors
Upstream licence	`CC-BY-4.0`
Licence class	`attribution-required`
Registry model id	`mimi`
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 CC-BY-4.0, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.

Attribution required

This application uses the Mimi neural audio codec by Kyutai. Mimi weights are licensed under CC-BY 4.0 (attribution required; commercial use permitted). Copyright (c) Kyutai / Moshi authors. Source: https://github.com/kyutai-labs/moshi

This licence obliges you to display the attribution above when you ship something built on these weights. Vokra surfaces it at runtime via vokra_model_attribution (C ABI) and a CLI banner.

Verifying this file

bash

shasum -a 256 mimi.gguf
# expect: 8fc9b2113a0dfe96209e5380b0e64acc89c937e3fe1ecb98703ba1c75a921bb0