BuzzASR: A Swarm of 100+ Monolingual Speech Recognition Models
Paper โข 2609.09554 โข Published โข 2
ggml conversions of BuzzASR/korean, a Korean fine-tune of openai/whisper-large-v3, for use with CrispASR and other whisper.cpp-compatible runtimes.
All credit for the model goes to the BuzzASR authors โ see the original model card for training details and benchmarks (FLEURS + Common Voice combined CER 4.61%, vs 5.72% for Whisper-large-v3 zero-shot).
| File | Size | Notes |
|---|---|---|
ggml-buzzasr-korean-f16.bin |
3.10 GB | Full precision (f16), straight conversion |
ggml-buzzasr-korean-q8_0.bin |
1.66 GB | 8-bit, near-lossless |
ggml-buzzasr-korean-q5_0.bin |
1.08 GB | 5-bit, smallest |
Download a file:
hf download wavu/buzzasr-korean-ggml ggml-buzzasr-korean-q8_0.bin --local-dir .
Transcribe with CrispASR:
crispasr -m ggml-buzzasr-korean-q8_0.bin -l ko -f audio.wav
Always pass -l ko. The model is fine-tuned for Korean only.
MIT, inherited from BuzzASR/korean.
If you use this model, please cite the BuzzASR paper: arXiv:2609.09554 (Findings of EMNLP 2026).