Qwen2 Audio 7B GGUF
For a convenient overview and download list, visit our model page for this model.
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 662 MB–14,5 GB
- Modelo base
- Qwen/Qwen2-Audio-7B
- Versión
- vRevision e5db3b0
- Actualizado
- 26 oct 2026
- Descargas
- 443
- Fuente
- Hugging Face
Descripción de la fuente
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)
| Link | Type | Size/GB | Notes |
|---|---|---|---|
| GGUF | mmproj-Q8_0 | 0.8 | multi-modal supplement |
| GGUF | mmproj-f16 | 1.4 | multi-modal supplement |
| GGUF | Q2_K | 3.2 | |
| GGUF | Q3_K_S | 3.7 | |
| GGUF | Q3_K_M | 4.0 | lower quality |
| GGUF | Q3_K_L | 4.3 | |
| GGUF | IQ4_XS | 4.4 | |
| GGUF | Q4_K_S | 4.7 | fast, recommended |
| GGUF | Q4_K_M | 4.9 | fast, recommended |
| GGUF | Q5_K_S | 5.5 | |
| GGUF | Q5_K_M | 5.7 | |
| GGUF | Q6_K | 6.5 | very good quality |
| GGUF | Q8_0 | 8.3 | fast, best quality |
| GGUF | f16 | 15.6 | 16 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.
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 26 oct
Download files
Artefactos del modelo
14 artefactos
Artefactos del modelo
14 artefactosQwen2-Audio-7B.mmproj-f16.gguf
gguf · 1,20 GB · SHA-256 6c5ce22e6460…4e6c · Hugging Face
Download fileQwen2-Audio-7B.mmproj-Q8_0.gguf
gguf · 662 MB · SHA-256 5bb5b640f8ac…e426 · Hugging Face
Download fileExtractos de fuentes
3 extractos
Extractos de fuentes
3 extractos--- 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...
Source context: 443 downloads · 3 likes · Pipeline audio-text-to-text · Library transformers · Repo mradermacher/Qwen2-Audio-7B-GGUF
Source context: 303 downloads · 3 likes · Pipeline audio-text-to-text · Library transformers · Repo mradermacher/Qwen2-Audio-7B-GGUF
