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canary-qwen-2.5b-gguf

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

cc-by-4.01.6 GB~3 GB RAMsource aliveunlabeled

GGUF conversions of nvidia/canary-qwen-2.5b for use with transcribe.cpp.

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Numbers

Numbers as of 2026-10-02 21:00 UTC, from the source API.

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Files

filequantsize
canary-qwen-2.5b-BF16.ggufBF164.7 GB
canary-qwen-2.5b-F16.ggufF164.7 GB
canary-qwen-2.5b-Q4_K_M.ggufQ4_K_M1.6 GB
canary-qwen-2.5b-Q5_K_M.ggufQ5_K_M1.8 GB
canary-qwen-2.5b-Q6_K.ggufQ6_K2.1 GB
canary-qwen-2.5b-Q8_0.ggufQ8_02.6 GB

From the source README

canary-qwen-2.5b: transcribe.cpp GGUF

GGUF conversions of nvidia/canary-qwen-2.5b for use
with transcribe.cpp.

Ported from upstream commit
b1469e1,
pinned 2026-05-15.
Validated against the NeMo SALM 2.7.3 reference at transcribe.cpp commit
6f6c699
on 2026-05-16.

Offline English speech-to-text. NeMo SALM (Speech-Augmented Language
Model): a FastConformer audio encoder (32 layers, `d_model=1024`) feeds
audio embeddings into a Qwen3-1.7B causal LM (28 layers,
`hidden_size=2048`) via audio-token injection at a sentinel position in
the prompt. English only. Takes a 16 kHz mono WAV and produces a
transcript via greedy decoding.

Downloads

| Quantization | Download | Size | WER (LibriSpeech test-clean) |
| --- | --- | ---: | ---: |
| BF16 | canary-qwen-2.5b-BF16.gguf | 5.08 GB | 1.63% |
| F16 | canary-qwen-2.5b-F16.gguf | 5.08 GB | 1.63% |
| Q8_0 | canary-qwen-2.5b-Q8_0.gguf | 2.80 GB | 1.63% |
| Q6_K | canary-qwen-2.5b-Q6_K.gguf | 2.21 GB | 1.63% |
| Q5_K_M | canary-qwen-2.5b-Q5_K_M.gguf | 1.98 GB | 1.63% |
| Q4_K_M | canary-qwen-2.5b-Q4_K_M.gguf | 1.74 GB |…

Source: https://huggingface.co/handy-computer/canary-qwen-2.5b-gguf

Card id model:hf:handy-computer/canary-qwen-2.5b-gguf · collected 2026-10-02 21:00 UTC · JSON