Wav2vec2 Base German Cv9 GGUF

--- 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