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canary-180m-flash-gguf

by handy-computer · source Hugging Face · updated 2026-09-15

cc-by-4.0133 MB~1 GB RAMsource aliveunlabeled

GGUF conversions of nvidia/canary-180m-flash for use with transcribe.cpp.

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Numbers

Numbers as of 2026-10-02 20:59 UTC, from the source API.

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Files

filequantsize
canary-180m-flash-F16.ggufF16364 MB
canary-180m-flash-F32.ggufF32721 MB
canary-180m-flash-Q4_K_M.ggufQ4_K_M133 MB
canary-180m-flash-Q5_K_M.ggufQ5_K_M151 MB
canary-180m-flash-Q6_K.ggufQ6_K168 MB
canary-180m-flash-Q8_0.ggufQ8_0208 MB

From the source README

canary-180m-flash: transcribe.cpp GGUF

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.

Downloads

| Quantization | Download | Size | WER (LibriSpeech test-clean) |
| --- | --- | ---: | ---: |
| F32 | canary-180m-flash-F32.gguf | 756 MB | 1.94% |
| F16 | canary-180m-flash-F16.gguf | 382 MB | 1.94% |
| Q8_0 | canary-180m-flash-Q8_0.gguf | 218 MB | 1.93% |
| Q6_K | canary-180m-flash-Q6_K.gguf | 176 MB | 1.93% |
| Q5_K_M | canary-180m-flash-Q5_K_M.gguf | 159 MB | 1.90% |
| Q4_K_M | [canary-180m-flash-Q4_K_M.gguf](https://huggingface.co/handy-computer/ca…

Source: https://huggingface.co/handy-computer/canary-180m-flash-gguf

Card id model:hf:handy-computer/canary-180m-flash-gguf · collected 2026-10-02 20:59 UTC · JSON