frozenlab/ qwen3-asr:0.6b

2,383 1 month ago

vision 0.6b 1.7b 
ollama run frozenlab/qwen3-asr:0.6b

Details

1 month ago

fa76f97e4d32 · 1.0GB

model
qwen3vl
·
752M
·
Q8_0
projector
clip
·
188M
·
Q8_0
license
Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR US
params
{ "stop": [ "<|im_start|>", "<|im_end|>" ], "temperature": 0 }
template
{{ if .System }}<|im_start|>system {{ .System }}<|im_end|> {{ end }}{{ if .Prompt }}<|im_start|>user

Readme

Speech recognition models from the Qwen team (Alibaba), packaged for Ollama with the audio encoder (mmproj). 52 languages and dialects, automatic language detection, punctuation and capitalization. Weights: ggml-org GGUF conversion of Qwen3-ASR, Q8_0. License: Apache 2.0.

Tag Size Use
1.7b / latest 2.5 GB best accuracy
0.6b 1.0 GB fast, live transcription

Usage

Send the audio (16 kHz mono WAV, up to ~60 s per request) base64-encoded in the images field. Use an empty prompt:

curl http://localhost:11434/api/chat -d '{
  "model": "frozenlab/qwen3-asr",
  "stream": false,
  "messages": [{"role": "user", "content": "",
                "images": ["'"$(base64 -w0 speech.wav)"'"]}]
}'

The reply starts with the detected language, e.g. language German<asr_text>Hallo, wie geht's? — strip everything up to and including <asr_text>.

Measured (German conversation, 9.5 min, vs. human subtitles)

Model Window WER Time per 30 s audio
1.7b 30 s 15.4 % 1.8 s
0.6b 30 s 19.3 % 1.0 s

Accuracy stays flat up to 60 s windows and degrades at ~2 min. Requires an Ollama version with qwen3a audio projector support.