GGUF
vokra

yue-xcodec-mini (Vokra GGUF)

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 โ€” see Source below.

Files

File Size SHA-256
yue-xcodec-mini.gguf 1726.2 MB 60e21aa5335646080102196454d7ffad5e012467d6f5eb9b776bf07d666b02bc

Usage

# Download (any HTTP client works โ€” the file is a plain GGUF)
curl -L -o yue-xcodec-mini.gguf \
  https://huggingface.co/vokra/yue-xcodec-mini/resolve/main/yue-xcodec-mini.gguf
vokra-cli run --model yue-xcodec-mini.gguf --input input.wav

Provenance

Field Value
Architecture yue_xcodec_mini
Tensors 2145
Upstream source m-a-p/xcodec_mini_infer (YuE xcodec-mini bundle = SoundStream RVQ codec 25 Hz + HuBERT-base semantic encoder + Vocos decoder head, apache-2.0)
Upstream licence apache-2.0
Licence class permissive
Registry model id yue-xcodec-mini
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 apache-2.0, unchanged from upstream. Conversion does not alter the licence, and your obligations run to the upstream author.

Verifying this file

shasum -a 256 yue-xcodec-mini.gguf
# expect: 60e21aa5335646080102196454d7ffad5e012467d6f5eb9b776bf07d666b02bc
Downloads last month
13
GGUF
Model size
0.5B params
Architecture
Hardware compatibility
Log In to add your hardware

We're not able to determine the quantization variants.

Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support