metadata
license: apache-2.0
language:
- de
library_name: transformers
pipeline_tag: automatic-speech-recognition
model-index:
- name: whisper-large-v3-turbo-german by Florian Zimmermeister @primeLine
results:
- task:
type: automatic-speech-recognition
name: Speech Recognition
dataset:
name: German ASR Data-Mix
type: flozi00/asr-german-mixed
metrics:
- type: wer
value: 2.628 %
name: Test WER
datasets:
- flozi00/asr-german-mixed
- flozi00/asr-german-mixed-evals
base_model:
- primeline/whisper-large-v3-german
whisper-large-v3-turbo-german — GGUF
GGML conversions and quantisations of primeline/whisper-large-v3-turbo-german for use with CrispStrobe/CrispASR or any whisper.cpp-compatible tool.
Available variants
| File | Quant | Size | Notes |
|---|---|---|---|
ggml-model.bin |
F16 | 1.6 GB | Original conversion, full precision |
ggml-model-q5_0.bin |
Q5_0 | 548 MB | Good quality/size tradeoff |
ggml-model-q4_k.bin |
Q4_K | 453 MB | Smallest, fastest on CPU |
All variants produce correct German transcription on test audio. Q4_K is recommended for CPU deployment.
Model details
- Architecture: Whisper large-v3 encoder (32 layers) + turbo decoder (4 layers)
- Parameters: 809M
- Languages: German (primary), English
- Base model:
primeline/whisper-large-v3-turbo-german - License: MIT
The "turbo" variant uses only 4 decoder layers (vs 32 in large-v3), making it ~3x faster at inference with minimal quality loss for German.
Usage with CrispASR
# Build CrispASR
git clone https://github.com/CrispStrobe/CrispASR && cd CrispASR
cmake -S . -B build && cmake --build build -j8
# Transcribe German audio
./build/bin/crispasr -m ggml-model-q4_k.bin -f german_audio.wav -l de
# With subtitles
./build/bin/crispasr -m ggml-model-q4_k.bin -f german_audio.wav -l de -osrt --split-on-punct
Conversion
Converted from the original HuggingFace model using whisper.cpp's convert-h5-to-ggml.py, then quantised with whisper-quantize:
python models/convert-h5-to-ggml.py primeline/whisper-large-v3-turbo-german . models
whisper-quantize ggml-model.bin ggml-model-q5_0.bin q5_0
whisper-quantize ggml-model.bin ggml-model-q4_k.bin q4_k