ViGOS 3B GGUF
qwen
Model source
- Kind
- Other
- File size
- 808 MB–5.75 GB
- Base model
- OedoSoldier/ViGOS-3B
- Version
- vRevision 9e19548
- Updated
- Oct 10, 2026
- Downloads
- 454
- Source
- Hugging Face
Source description
About
static quants of https://huggingface.co/OedoSoldier/ViGOS-3B
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
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 | 0.9 | multi-modal supplement |
| GGUF | Q2_K | 1.4 | |
| GGUF | mmproj-f16 | 1.4 | multi-modal supplement |
| GGUF | Q3_K_S | 1.6 | |
| GGUF | Q3_K_M | 1.7 | lower quality |
| GGUF | Q3_K_L | 1.8 | |
| GGUF | IQ4_XS | 1.9 | |
| GGUF | Q4_K_S | 1.9 | fast, recommended |
| GGUF | Q4_K_M | 2.0 | fast, recommended |
| GGUF | Q5_K_S | 2.3 | |
| GGUF | Q5_K_M | 2.3 | |
| GGUF | Q6_K | 2.6 | very good quality |
| GGUF | Q8_0 | 3.4 | fast, best quality |
| GGUF | f16 | 6.3 | 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. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
Sources
1 source
Sources
1 sourceVerified Oct 10
Model artifacts
14 artifacts
Model artifacts
14 artifactsSource excerpts
3 excerpts
Source excerpts
3 excerpts--- base_model: OedoSoldier/ViGOS-3B language: - en library_name: transformers license: other license_link: https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct/blob/main/LICENSE license_name: qwen mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - vision-language - multimodal - visual-question-answering - visual-reasoning - visual-grounding - on-policy-self-distillation - self-distillation - qwen2.5-vl - lora - vigos --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> <!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: --> static quants of https://huggingface.co/OedoSoldier/ViGOS-3B <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#ViGOS-3B-GGUF).*** weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion. ## 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/ViGOS-3B-GGUF/resolve/main/ViGOS-3B.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.9 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/ViGOS-3B-GGUF/resolve/main/ViGOS-3B.Q2_K.gguf) | Q2_K | 1.4 | | | [GGUF](https://huggingface.co/mradermacher/ViGOS-3B-GGUF/resolve/main/ViGOS-3B.mmproj-f16.gguf) | mmproj-f16 | 1.4 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/ViGOS-3B-GGUF/resolve/main/ViGOS-3B.Q3_K_S.gguf) | Q3_K_S | 1.6 | | | [GGUF](https://huggingface.co/mradermacher/ViGOS-3B-GGUF/resolve/main/ViGOS-3B.Q3_K_M.gguf) | Q3_K_M | 1.7 | lower quality | | [GGUF](https://huggingface.co/mradermacher/ViGOS-3B-GGUF/resolve/main/ViGOS-3B.Q3_K_L.gguf) | Q3_K_L | 1.8 | | | [GGUF](https://huggingface.co/mraderma...
Source context: 454 downloads · 1 likes · Pipeline visual-question-answering · Library transformers · Repo mradermacher/ViGOS-3B-GGUF
Source context: 126 downloads · 1 likes · Pipeline visual-question-answering · Library transformers · Repo mradermacher/ViGOS-3B-GGUF
