handy-computer/canary-180m-flash-gguf

automatic-speech-recognition model by handy-computer

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GGUF conversions of nvidia/canary-180m-flash for use with transcribe.cpp. Ported from upstream commit b12ab41, pinned 2026-05-08. Validated against the NeMo reference at transcribe.cpp commit db53eda on 2026-05-08. Offline multilingual speech-to-text and translation. A 182M-parameter multitask AED with a 17-layer FastConformer encoder and a 4-layer Transformer decoder. Supports automatic speech recognition in English, German, Spanish, and French, and bidirectional EN↔{DE, ES, FR} translation. Takes a 16 kHz mono WAV and produces a transcript. Not a streaming model; word/segment timestamps are upstream-experimental and not exposed in the v1 port. WER on the full LibriSpeech test-clean split (2,620 utterances), batch size 1, timestamps none. Figures without a commit were published before provenance was recorded. Greedy decoding, no external LM. F32 reference baseline: 1.94%. On the same wavs, NeMo's reference run produces 1.93% (one substitution difference out of 27k reference words), so the F32 port matches the reference framework at the noise floor. NVIDIA's self-reported…

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Model overview

handy-computer/canary-180m-flash-gguf is a automatic-speech-recognition model repository published by handy-computer on Hugging Face. The source reports the transcribe.cpp library.

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Model facts

Task: automatic-speech-recognition
Library: transcribe.cpp
Recent downloads (30 days): 267,716
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: Not reported
Architecture: Not reported
License: cc-by-4.0
Access: Not gated by Hugging Face
Created: 2026-05-08T10:28:13.000Z
Last modified: 2026-09-15T07:05:30.000Z

Compatibility and lineage

Reported languages: en, de, es, fr

Reported base models: nvidia/canary-180m-flash

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