Wav2vec2 Base German Cv9 GGUF
GGUF conversions and quantisations of oliverguhr/wav2vec2-base-german-cv9 for use with CrispStrobe/CrispASR.
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 80,4 MB
- Modelo base
- oliverguhr/wav2vec2-base-german-cv9
- Versión
- vRevision f90106c
- Actualizado
- 26 sept 2026
- Descargas
- 84
- Fuente
- Hugging Face
Descripción de la fuente
Wav2Vec2 Base German (CV9) -- GGUF
GGUF conversions and quantisations of oliverguhr/wav2vec2-base-german-cv9 for use with CrispStrobe/CrispASR.
Available variants
| File | Quant | Size | Notes |
|---|---|---|---|
wav2vec2-base-german-cv9-q4_k.gguf | Q4_K | ~60 MB | Best size/quality tradeoff |
Model details
- Architecture: Wav2Vec2ForCTC — CNN feature extractor + 12L transformer encoder (768d, 12 heads, post-norm) + CTC head
- Parameters: 94M
- Language: German
- Vocab: 35 characters (CTC greedy decode)
- License: MIT
- Source:
oliverguhr/wav2vec2-base-german-cv9 - Small and fast. MIT licensed. Post-norm architecture (wav2vec2-base style).
Usage with CrispASR
./build/bin/crispasr --backend wav2vec2 -m wav2vec2-base-german-cv9-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
Provenance and EU AI Act Art. 53 note
- Upstream model: oliverguhr/wav2vec2-base-german-cv9 — published by
oliverguhr. - Upstream licence:
mit. This repository redistributes under the same terms; it grants no rights the upstream licence does not. - What was done here: format conversion and/or quantisation only (GGUF/GGML). No training, no fine-tuning, no merging, no distillation, no change to architecture, vocabulary or capability. Only the numeric representation of the upstream weights differs.
- Training data: documented — where it is documented at all — by the upstream provider; see the upstream model card. No training data was used, added or selected by this repository.
- Provider status: under Regulation (EU) 2024/1689 the upstream authors remain the provider of this model. Converting the serialisation format does not make this repository the provider of a new general-purpose AI model, and no such claim is made. Questions about training content, copyright policy or model capability belong upstream.
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 6 sept
Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactowav2vec2-base-german-cv9-q4_k.gguf
gguf · 80,4 MB · SHA-256 5b71f1c985c4…0a6e · Hugging Face
DescargarExtractos de fuentes
2 extractos
Extractos de fuentes
2 extractos--- license: mit language: - de pipeline_tag: automatic-speech-recognition tags: - audio - speech-recognition - transcription - gguf - wav2vec2 - german library_name: ggml base_model: oliverguhr/wav2vec2-base-german-cv9 --- # Wav2Vec2 Base German (CV9) -- GGUF GGUF conversions and quantisations of [`oliverguhr/wav2vec2-base-german-cv9`](https://huggingface.co/oliverguhr/wav2vec2-base-german-cv9) for use with **[CrispStrobe/CrispASR](https://github.com/CrispStrobe/CrispASR)**. ## Available variants | File | Quant | Size | Notes | |---|---|---|---| | `wav2vec2-base-german-cv9-q4_k.gguf` | Q4_K | ~60 MB | Best size/quality tradeoff | ## Model details - **Architecture:** Wav2Vec2ForCTC — CNN feature extractor + 12L transformer encoder (768d, 12 heads, post-norm) + CTC head - **Parameters:** 94M - **Language:** German - **Vocab:** 35 characters (CTC greedy decode) - **License:** MIT - **Source:** [`oliverguhr/wav2vec2-base-german-cv9`](https://huggingface.co/oliverguhr/wav2vec2-base-german-cv9) - Small and fast. MIT licensed. Post-norm architecture (wav2vec2-base style). ## Usage with CrispASR ```bash ./build/bin/crispasr --backend wav2vec2 -m wav2vec2-base-german-cv9-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 ``` ## Provenance and EU AI Act Art. 53 note - **Upstream model:** [oliverguhr/wav2vec2-base-german-cv9](https://huggingface.co/oliverguhr/wav2vec2-base-german-cv9) — published by `oliverguhr`. - **Upstream licence:** `mit`. This repository redistributes under the same terms; it grants no rights the upstream licence does not. - **What was done here:** format conversion and/or quantisation only (GGUF/GGML). No training, no fine-tuning, no merging, no distillation, no change to architecture, vocabulary or capability. Only the numeric representation of the upstream weights differs. - **Training data:** documented — where it is documented at all — by the upstream provider; see the upstream model card. No training data was used, added or selected by this repository. - **Provider status:** under Regulation (EU) 2024/1689 the upstream authors remain the provider of this model. Converting the serialisation format does not make this repository the provider of a new general-purpose AI model, and no such claim is made. Questions about train...
Source context: 84 downloads · 0 likes · Pipeline automatic-speech-recognition · Library ggml · Repo cstr/wav2vec2-base-german-cv9-GGUF
