wav2vec2-large-xlsr-53-german-cv13-GGUF – AI Model by cstr | AlphaNeural AI

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wav2vec2-large-xlsr-53-german-cv13-GGUF

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speech-recognition

automatic-speech-recognition

oliverguhr/wav2vec2-large-xlsr-53-german-cv13

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Wav2Vec2 Large XLSR-53 German (CV13) -- GGUF

GGUF conversions and quantisations of oliverguhr/wav2vec2-large-xlsr-53-german-cv13 for use with CrispStrobe/CrispASR.

Available variants

File	Quant	Size	Notes
`wav2vec2-large-xlsr-53-german-cv13-q4_k.gguf`	Q4_K	~222 MB	Best size/quality tradeoff

Model details

Architecture: Wav2Vec2ForCTC — CNN feature extractor + 24L transformer encoder (1024d, 16 heads, stable (pre-norm)) + CTC head
Parameters: 315M
Language: German
Vocab: 35 characters (CTC greedy decode)
License: APACHE-2.0
Source: oliverguhr/wav2vec2-large-xlsr-53-german-cv13
Fine-tuned on CommonVoice 13.0 German — newer training data than the original.

Usage with CrispASR

bash

./build/bin/crispasr --backend wav2vec2 -m wav2vec2-large-xlsr-53-german-cv13-q4_k.gguf -f german_audio.wav -l de

# Auto-download (default German model):
./build/bin/crispasr --backend wav2vec2 -m auto --auto-download -l de -f audio.wav