HF Model & Benchmark Matrix

24,078 variants · 14,984 scores · 120 benchmarks

canary-qwen-2.5b-gguf

handy-computer/canary-qwen-2.5b-gguf

kind
gguf
quant
gguf (16-bit)
family
qwen
modality
automatic-speech-recognition
root model
nvidia/canary-qwen-2.5b
provider
handy-computer
license
cc-by-4.0
language
en
context
—
library
transcribe.cpp
vRAM (GB)
—
size on disk
—
downloads
22,112
likes
1
created
—
last modified
2026-06-28T13:16:53+00:00 (2026)
huggingface
https://huggingface.co/handy-computer/canary-qwen-2.5b-gguf
tags
transcribe.cppggufasrspeech-to-textcanarycanary-qwensalmaudio-llmfastconformerqwen3automatic-speech-recognitionenarxiv:1706.03762arxiv:2503.05931arxiv:2505.13404arxiv:2310.09424arxiv:2104.02821base_model:nvidia/canary-qwen-2.5bbase_model:quantized:nvidia/canary-qwen-2.5blicense:cc-by-4.0region:usconversational

Benchmark scores (7)

benchmarkcategoryscorecontextconfevidence
WERspeech-asr16.71% WERmedium| % WER | 16.71 | 13.85 | 17.71 | 29.46 |
WER Earnings-22speech-asr10.42low| 2.5.0 | Canary-Qwen-2.5B | 418 | 5.63 | 10.18 | 9.41 | 1.60 | 3.10 | 10.42 | 1.90 | 2.72 | 5.66 |
WER AMIspeech-asr10.18low| 2.5.0 | Canary-Qwen-2.5B | 418 | 5.63 | 10.18 | 9.41 | 1.60 | 3.10 | 10.42 | 1.90 | 2.72 | 5.66 |
WER GigaSpeechspeech-asr9.41low| 2.5.0 | Canary-Qwen-2.5B | 418 | 5.63 | 10.18 | 9.41 | 1.60 | 3.10 | 10.42 | 1.90 | 2.72 | 5.66 |
WER VoxPopulispeech-asr5.66low| 2.5.0 | Canary-Qwen-2.5B | 418 | 5.63 | 10.18 | 9.41 | 1.60 | 3.10 | 10.42 | 1.90 | 2.72 | 5.66 |
WER TED-LIUMspeech-asr2.72low| 2.5.0 | Canary-Qwen-2.5B | 418 | 5.63 | 10.18 | 9.41 | 1.60 | 3.10 | 10.42 | 1.90 | 2.72 | 5.66 |
WERspeech-asr1.63low| BF16 | [canary-qwen-2.5b-BF16.gguf](https://huggingface.co/handy-computer/canary-qwen-2.5b-gguf/resolve/main/canary-qwen-2.5b-BF16.gguf) | 4.73 GB | 1.63% |

Discussions (0)

none scraped.

Hugging Face model & benchmark data scraped & matrix-ified. 24,078 variants · 14,984 scores · 120 benchmarks.