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Qwen3-ASR-0.6B-gguf

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

apache-2.0562 MB~2 GB RAMsource aliveunlabeled

GGUF conversions of Qwen/Qwen3-ASR-0.6B 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
Qwen3-ASR-0.6B-BF16.ggufBF161.5 GB
Qwen3-ASR-0.6B-F16.ggufF161.5 GB
Qwen3-ASR-0.6B-Q4_K_M.ggufQ4_K_M562 MB
Qwen3-ASR-0.6B-Q5_K_M.ggufQ5_K_M615 MB
Qwen3-ASR-0.6B-Q6_K.ggufQ6_K658 MB
Qwen3-ASR-0.6B-Q8_0.ggufQ8_0811 MB

From the source README

Qwen3-ASR-0.6B: transcribe.cpp GGUF

GGUF conversions of Qwen/Qwen3-ASR-0.6B for use
with transcribe.cpp.

Ported from upstream commit
5eb1441,
pinned 2026-04-19.
Validated against the qwen_asr 0.0.6 reference at transcribe.cpp commit
3f61df7
on 2026-04-20.

Offline multilingual speech-to-text. An 18-layer bidirectional audio encoder
feeds a 28-layer Qwen3 causal LM with audio-token injection (fused
audio+text sequence, no cross-attention). Auto-detects the audio's language
across 30 languages and emits the transcript in that language. Takes a
16 kHz mono WAV; explicit language hints are not supported at this time.

Downloads

| Quantization | Download | Size | WER (LibriSpeech test-clean) |
| --- | --- | ---: | ---: |
| BF16 | Qwen3-ASR-0.6B-BF16.gguf | 1.57 GB | 2.12% |
| F16 | Qwen3-ASR-0.6B-F16.gguf | 1.58 GB | 2.12% |
| Q8_0 | Qwen3-ASR-0.6B-Q8_0.gguf | 850 MB | 2.11% |
| Q6_K | Qwen3-ASR-0.6B-Q6_K.gguf | 690 MB | 2.11% |
| Q5_K_M | Qwen3-ASR-0.6B-Q5_K_M.gguf | 645 MB | 2.21% |
| Q4_K_M | Qwen3-ASR-0.6B-Q4_K_M.gguf | 590 MB | 2.26% |

WER on the full LibriSpeech test-clean split (2,62…

Source: https://huggingface.co/handy-computer/Qwen3-ASR-0.6B-gguf

Card id model:hf:handy-computer/Qwen3-ASR-0.6B-gguf · collected 2026-10-02 20:59 UTC · JSON