firered-asr-aed-l (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 — see Source below.

Files

File	Size	SHA-256
firered-asr-aed-l.gguf	4461.6 MB	6e2d7398ac831e21b3d550958fa84bd7c67dceada7c91c80680a81221916b2d3

Usage

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

vokra-cli run --model firered-asr-aed-l.gguf --input input.wav

Provenance

Field	Value
Architecture	firered_asr_aed_l
Tensors	940
Upstream source	FireRedTeam/FireRedASR-AED-L (Whisper-topology AED for Chinese ASR, apache-2.0)
Upstream licence	apache-2.0
Licence class	permissive
Registry model id	firered-asr-aed-l
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 firered-asr-aed-l.gguf
# expect: 6e2d7398ac831e21b3d550958fa84bd7c67dceada7c91c80680a81221916b2d3