Stt En Fastconformer Ctc Large GGUF
GGUF quantisations of nvidia/sttenfastconformerctclarge for CrispASR.
Fonte do modelo
- Tipo
- Other
- Tamanho do arquivo
- 70,3–221 MB
- Modelo base
- nvidia/stt_en_fastconformer_ctc_large
- Versão
- vRevision 2eb7779
- Atualizado
- 26 de set. de 2026
- Downloads
- 968
- Fonte
- Hugging Face
Descrição da fonte
stt-en-fastconformer-ctc-large-GGUF
GGUF quantisations of nvidia/stt_en_fastconformer_ctc_large for CrispASR.
| Quant | Size | Description |
|---|---|---|
| F16 | 222 MB | Full precision |
| Q8_0 | 132 MB | 8-bit |
| Q5_0 | 95 MB | 5-bit |
| Q4_K | 83 MB | 4-bit K-quant (recommended) |
Architecture
18-layer NeMo FastConformer encoder + Conv1d CTC head. d_model=512, 8 heads, 1024 SentencePiece vocab, English only, 80 log-mel features, ~115M params.
Usage
crispasr --backend fastconformer-ctc -m stt-en-fastconformer-ctc-large-q4_k.gguf -f audio.wav
NeMo Family
Same --backend fastconformer-ctc supports large (18L/512d), xlarge (24L/1024d), and xxlarge (42L/1024d).
Provenance and EU AI Act Art. 53 note
- Upstream model: nvidia/stt_en_fastconformer_ctc_large — published by
nvidia. - Upstream licence:
cc-by-4.0. 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). 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.
Fontes
1 fonte
Fontes
1 fonteVerificado 6 de set.
Download files
Artefatos de modelo
4 artefatos
Artefatos de modelo
4 artefatosstt-en-fastconformer-ctc-large-f16.gguf
gguf · 221 MB · SHA-256 78dd76f13798…30f8 · Hugging Face
Download filestt-en-fastconformer-ctc-large-q4_k.gguf
gguf · 70,3 MB · SHA-256 834c5e6e85eb…a467 · Hugging Face
Download filestt-en-fastconformer-ctc-large-q5_0.gguf
gguf · 82,3 MB · SHA-256 2be16a739a9e…e8f3 · Hugging Face
Download filestt-en-fastconformer-ctc-large-q8_0.gguf
gguf · 118 MB · SHA-256 d56c6a5fcae8…fdd7 · Hugging Face
Download fileTrechos de fonte
2 trechos
Trechos de fonte
2 trechos--- license: cc-by-4.0 base_model: nvidia/stt_en_fastconformer_ctc_large language: - en tags: - automatic-speech-recognition - gguf - crispasr - fastconformer - ctc - nemo pipeline_tag: automatic-speech-recognition --- # stt-en-fastconformer-ctc-large-GGUF GGUF quantisations of [nvidia/stt_en_fastconformer_ctc_large](https://huggingface.co/nvidia/stt_en_fastconformer_ctc_large) for [CrispASR](https://github.com/CrispStrobe/CrispASR). | Quant | Size | Description | |---|---|---| | F16 | 222 MB | Full precision | | Q8_0 | 132 MB | 8-bit | | Q5_0 | 95 MB | 5-bit | | Q4_K | 83 MB | 4-bit K-quant (recommended) | ## Architecture 18-layer NeMo FastConformer encoder + Conv1d CTC head. d_model=512, 8 heads, 1024 SentencePiece vocab, English only, 80 log-mel features, ~115M params. ## Usage ```bash crispasr --backend fastconformer-ctc -m stt-en-fastconformer-ctc-large-q4_k.gguf -f audio.wav ``` ## NeMo Family Same `--backend fastconformer-ctc` supports large (18L/512d), xlarge (24L/1024d), and xxlarge (42L/1024d). ## Provenance and EU AI Act Art. 53 note - **Upstream model:** [nvidia/stt_en_fastconformer_ctc_large](https://huggingface.co/nvidia/stt_en_fastconformer_ctc_large) — published by `nvidia`. - **Upstream licence:** `cc-by-4.0`. 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). 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.
Source context: 968 downloads · 0 likes · Pipeline automatic-speech-recognition · Library nemo · Repo cstr/stt-en-fastconformer-ctc-large-GGUF
