Wav2Vec2 Large Xlsr 53 Dutch -- GGUF

GGUF conversions and quantisations of jonatasgrosman/wav2vec2-large-xlsr-53-dutch for use with CrispStrobe/CrispASR.

Available variants

File Quant Size Notes
wav2vec2-large-xlsr-53-dutch-f16.gguf F16 ~626 MB Reference conversion
wav2vec2-large-xlsr-53-dutch-q4_k.gguf Q4_K ~212 MB Default auto-download target
wav2vec2-large-xlsr-53-dutch-q8_0.gguf Q8_0 ~356 MB Higher precision

Model details

  • Architecture: Wav2Vec2ForCTC
  • Hidden size: 1024
  • Attention heads: 16
  • Transformer layers: 24
  • CTC vocabulary: 39 tokens
  • Language: Dutch
  • Base model: jonatasgrosman/wav2vec2-large-xlsr-53-dutch

Usage with CrispASR

crispasr --backend wav2vec2 -m wav2vec2-large-xlsr-53-dutch-q4_k.gguf -f audio.wav -l nl

# Auto-download via registry alias once published:
crispasr --backend wav2vec2 -m auto --auto-download -l nl -f audio.wav

Provenance

Converted from the upstream Hugging Face checkpoint with models/convert-wav2vec2-to-gguf.py, then quantized with build-ninja-compile/bin/crispasr-quantize.

License

Apache-2.0 โ€” same as the upstream model card.

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