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Qwen2 Audio 7B GGUF

For a convenient overview and download list, visit our model page for this model.

Sourcehuggingface.co/mradermacher/Qwen2-Audio-7B-GGUF/tree/e5db3b0ce180f05282520e97679eb62158d4f754
KindOtherBase modelQwen/Qwen2-Audio-7BVersionRevision e5db3b0Bgrade

Model source

Kind
Other
File size
662 MB–14.5 GB
Base model
Qwen/Qwen2-Audio-7B
Version
vRevision e5db3b0
Updated
Oct 26, 2026
Downloads
443
Source
Hugging Face

Source description

About

static quants of https://huggingface.co/Qwen/Qwen2-Audio-7B

For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen2-Audio-7B-i1-GGUF

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

LinkTypeSize/GBNotes
GGUFmmproj-Q8_00.8multi-modal supplement
GGUFmmproj-f161.4multi-modal supplement
GGUFQ2_K3.2
GGUFQ3_K_S3.7
GGUFQ3_K_M4.0lower quality
GGUFQ3_K_L4.3
GGUFIQ4_XS4.4
GGUFQ4_K_S4.7fast, recommended
GGUFQ4_K_M4.9fast, recommended
GGUFQ5_K_S5.5
GGUFQ5_K_M5.7
GGUFQ6_K6.5very good quality
GGUFQ8_08.3fast, best quality
GGUFf1615.616 bpw, overkill

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

image.png

And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.

Sources

1 source
Hugging FacePrimaryVersion e5db3b0ce180f05282520e97679eb62158d4f754
huggingface.co/mradermacher/Qwen2-Audio-7B-GGUF/tree/e5db3b0ce180f05282520e97679eb62158d4f754

Verified Oct 26

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Model artifacts

14 artifacts

Qwen2-Audio-7B.f16.gguf

gguf · 14.5 GB · SHA-256 0f9ae8526d43…8cd4 · Hugging Face

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Qwen2-Audio-7B.IQ4_XS.gguf

gguf · 4.04 GB · SHA-256 11bf4391932e…74ff · Hugging Face

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Qwen2-Audio-7B.mmproj-f16.gguf

gguf · 1.20 GB · SHA-256 6c5ce22e6460…4e6c · Hugging Face

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Qwen2-Audio-7B.mmproj-Q8_0.gguf

gguf · 662 MB · SHA-256 5bb5b640f8ac…e426 · Hugging Face

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Qwen2-Audio-7B.Q2_K.gguf

gguf · 2.91 GB · SHA-256 17bebdc7dcf6…5c36 · Hugging Face

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Qwen2-Audio-7B.Q3_K_L.gguf

gguf · 3.95 GB · SHA-256 8838925f42e2…67f2 · Hugging Face

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Qwen2-Audio-7B.Q3_K_M.gguf

gguf · 3.67 GB · SHA-256 cf75ddbea224…e07b · Hugging Face

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Qwen2-Audio-7B.Q3_K_S.gguf

gguf · 3.34 GB · SHA-256 94afec1fdc7d…de27 · Hugging Face

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Qwen2-Audio-7B.Q4_K_M.gguf

gguf · 4.46 GB · SHA-256 0f4e66a9c978…cbe3 · Hugging Face

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Qwen2-Audio-7B.Q4_K_S.gguf

gguf · 4.25 GB · SHA-256 d31a236cbdf3…8195 · Hugging Face

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Qwen2-Audio-7B.Q5_K_M.gguf

gguf · 5.17 GB · SHA-256 46c573a1e88b…16bf · Hugging Face

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Qwen2-Audio-7B.Q5_K_S.gguf

gguf · 5.05 GB · SHA-256 2b41a7fec2a2…5aba · Hugging Face

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Qwen2-Audio-7B.Q6_K.gguf

gguf · 5.93 GB · SHA-256 e449355b5439…fdd4 · Hugging Face

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Qwen2-Audio-7B.Q8_0.gguf

gguf · 7.68 GB · SHA-256 acfbf1746a6a…7c06 · Hugging Face

Download file

Source excerpts

3 excerpts
ReadmeAug 7huggingface.co/mradermacher/Qwen2-Audio-7B-GGUF

--- base_model: Qwen/Qwen2-Audio-7B language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - chat - audio - audio-text-to-text --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> static quants of https://huggingface.co/Qwen/Qwen2-Audio-7B <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen2-Audio-7B-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen2-Audio-7B-i1-GGUF ## Usage If you are unsure how to use GGUF files, refer to one of [TheBloke's READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for more details, including on how to concatenate multi-part files. ## Provided Quants (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) | Link | Type | Size/GB | Notes | |:-----|:-----|--------:|:------| | [GGUF](https://huggingface.co/mradermacher/Qwen2-Audio-7B-GGUF/resolve/main/Qwen2-Audio-7B.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.8 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/Qwen2-Audio-7B-GGUF/resolve/main/Qwen2-Audio-7B.mmproj-f16.gguf) | mmproj-f16 | 1.4 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/Qwen2-Audio-7B-GGUF/resolve/main/Qwen2-Audio-7B.Q2_K.gguf) | Q2_K | 3.2 | | | [GGUF](https://huggingface.co/mradermacher/Qwen2-Audio-7B-GGUF/resolve/main/Qwen2-Audio-7B.Q3_K_S.gguf) | Q3_K_S | 3.7 | | | [GGUF](https://huggingface.co/mradermacher/Qwen2-Audio-7B-GGUF/resolve/main/Qwen2-Audio-7B.Q3_K_M.gguf) | Q3_K_M | 4.0 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Qwen2-Audio-7B-GGUF/resolve/main/Qwen2-Audio-7B.Q3_K_L.gguf) | Q3_K_L | 4.3 | | | [GGUF](https://huggingface.co/mradermacher/Qwen2-Audio-7B-GGUF/resolve/main/Qwen2-Audio-7B.IQ4_XS.gguf) | IQ4_XS | 4.4 | | | [GGUF](https://huggingface.co/mradermacher/Qwen2-Audio-7B-GGUF/resolve/main/Qwen2-Audio-7B.Q4_K_S.gguf) | Q4_K_S | 4.7 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Qwen2-Audio-7B-GGUF/resolve/main/Qwen2-Audio-7B.Q4_K_M.gguf) | Q4_K_M | 4.9 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Qwen2-Audio-7B-GGUF/res...

NoteOct 26huggingface.co/mradermacher/Qwen2-Audio-7B-GGUF

Source context: 443 downloads · 3 likes · Pipeline audio-text-to-text · Library transformers · Repo mradermacher/Qwen2-Audio-7B-GGUF

NoteAug 7huggingface.co/mradermacher/Qwen2-Audio-7B-GGUF

Source context: 303 downloads · 3 likes · Pipeline audio-text-to-text · Library transformers · Repo mradermacher/Qwen2-Audio-7B-GGUF