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canary-1b-v2-gguf

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

cc-by-4.0701 MB~2 GB RAMsource aliveunlabeled

GGUF conversions of nvidia/canary-1b-v2 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-1b-v2-F16.ggufF161.8 GB
canary-1b-v2-F32.ggufF323.7 GB
canary-1b-v2-Q4_K_M.ggufQ4_K_M701 MB
canary-1b-v2-Q5_K_M.ggufQ5_K_M798 MB
canary-1b-v2-Q6_K.ggufQ6_K889 MB
canary-1b-v2-Q8_0.ggufQ8_01.1 GB

From the source README

canary-1b-v2: transcribe.cpp GGUF

GGUF conversions of nvidia/canary-1b-v2 for use
with transcribe.cpp.

Ported from upstream commit
87bc526,
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 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 | 3.92 GB | 1.92% |
| F16 | canary-1b-v2-F16.gguf | 1.97 GB | 1.92% |
| Q8_0 | canary-1b-v2-Q8_0.gguf | 1.14 GB | 1.91% |
| Q6_K | canary-1b-v2-Q6_K.gguf | 932 MB | 1.94% |
| Q5_K_M | canary-1b-v2-Q5_K_M.gguf | 837 MB | 1.93% |
| Q4_K_M | [canary-1b-v2-Q4_K_M.gguf](https://huggingface.co/handy-computer/canary-1b-v2-gguf/resolve/main/canary-1b…

Source: https://huggingface.co/handy-computer/canary-1b-v2-gguf

Card id model:hf:handy-computer/canary-1b-v2-gguf · collected 2026-10-02 20:59 UTC · JSON