Canary 1b v2 GGUF
GGUF conversions of nvidia/canary-1b-v2 for use with transcribe.cpp.
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 798 MB
- Modelo base
- nvidia/canary-1b-v2
- Versión
- vRevision 9f0c4c2
- Actualizado
- 27 sept 2026
- Descargas
- 3
- Fuente
- Hugging Face
Extracto de la fuente
GGUF conversions of nvidia/canary-1b-v2 for use with transcribe.cpp.
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 30 ago
Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactoExtractos de fuentes
2 extractos
Extractos de fuentes
2 extractos--- license: cc-by-4.0 base_model: nvidia/canary-1b-v2 base_model_relation: quantized library_name: transcribe.cpp pipeline_tag: automatic-speech-recognition language: - bg - hr - cs - da - nl - en - et - fi - fr - de - el - hu - it - lv - lt - mt - pl - pt - ro - sk - sl - es - sv - ru - uk tags: - gguf - transcribe.cpp - asr - speech-to-text - canary - multitask-aed - encoder-decoder - multilingual - translation transcribe_cpp: wer_librispeech_test_clean: f32: 1.92 f16: 1.92 q8_0: 1.91 q6_k: 1.94 q5_k_m: 1.93 q4_k_m: 1.91 rtf_m4_max: metal: 85.2 cpu: 18.9 rtf_ryzen_4750u: vulkan: 13.2 cpu: 6.7 streaming: false translate: true lang_detect: false timestamps: none --- # canary-1b-v2: transcribe.cpp GGUF GGUF conversions of [nvidia/canary-1b-v2](https://huggingface.co/nvidia/canary-1b-v2) for use with [transcribe.cpp](https://github.com/handy-computer/transcribe.cpp). Ported from upstream commit [87bc526](https://huggingface.co/nvidia/canary-1b-v2/commit/87bc526), pinned 2026-05-08. Validated against the NeMo reference at transcribe.cpp commit [db53eda](https://github.com/handy-computer/transcribe.cpp/tree/db53eda) on 2026-05-08. Offline multilingual speech-to-text and translation across 25 European languages. A 978M-parameter multitask AED with a 32-layer FastConformer encoder and an 8-layer Transformer decoder. Supports automatic speech recognition for any of the 25 supported languages, plus translation between supported language pairs (per the upstream model card). Takes a 16 kHz mono WAV and produces a transcript. Not a streaming model; word and segment timestamps from the upstream model are not exposed in the v1 port. ## Downloads | Quantization | Download | Size | WER (LibriSpeech test-clean) | | --- | --- | ---: | ---: | | F32 | [canary-1b-v2-F32.gguf](https://huggingface.co/handy-computer/canary-1b-v2-gguf/resolve/main/canary-1b-v2-F32.gguf) | 3.7 GB | 1.92% | | F16 | [canary-1b-v2-F16.gguf](https://huggingface.co/handy-computer/canary-1b-v2-gguf/resolve/main/canary-1b-v2-F16.gguf) | 1.8 GB | 1.92% | | Q8_0 | [canary-1b-v2-Q8_0.gguf](https://huggingface.co/handy-computer/canary-1b-v2-gguf/resolve/main/canary-1b-v2-Q8_0.gguf) | 1.1 GB | 1.91% | | Q6_K | [canary-1b-v2-Q6_K.gguf](https://huggingface.co/handy-computer/canary-1b-v2-gguf/resolve/main/canary-1b-v2-Q6_K.gguf) | 889 MB | 1.94% | | Q5_K...
Source context: 3 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transcribe.cpp · Repo memoravox/canary-1b-v2-gguf
