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NayanaVQA GGUF

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

Sourcehuggingface.co/mradermacher/NayanaVQA-GGUF/tree/3e50d5735dff2b7ee355e1d647f61211c01d4352
KindOtherBase modelNayana-cognitivelab/NayanaVQAVersionRevision 3e50d57Bgrade

Model source

Kind
Other
File size
2.57–12.8 GB
Base model
Nayana-cognitivelab/NayanaVQA
Version
vRevision 3e50d57
Updated
Oct 23, 2026
Downloads
140
Source
Hugging Face

Source description

About

static quants of https://huggingface.co/Nayana-cognitivelab/NayanaVQA

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)

LinkTypeSize/GBNotes
GGUFQ2_K2.9
GGUFQ3_K_S3.4
GGUFQ3_K_M3.5lower quality
GGUFQ3_K_L3.7
GGUFIQ4_XS4.0
GGUFQ4_K_S4.2fast, recommended
GGUFQ4_K_M4.3fast, recommended
GGUFQ5_K_S5.0
GGUFQ5_K_M5.0
GGUFQ6_K5.8very good quality
GGUFQ8_07.5fast, best quality
GGUFf1613.816 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 3e50d5735dff2b7ee355e1d647f61211c01d4352
huggingface.co/mradermacher/NayanaVQA-GGUF/tree/3e50d5735dff2b7ee355e1d647f61211c01d4352

Verified Oct 23

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Model artifacts

12 artifacts

NayanaVQA.f16.gguf

gguf · 12.8 GB · SHA-256 0002b9e30e23…220d · Hugging Face

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NayanaVQA.IQ4_XS.gguf

gguf · 3.65 GB · SHA-256 f09936f01ee4…63ac · Hugging Face

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NayanaVQA.Q2_K.gguf

gguf · 2.57 GB · SHA-256 cae61d0c0a6e…25b3 · Hugging Face

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NayanaVQA.Q3_K_L.gguf

gguf · 3.35 GB · SHA-256 0a06ad8852c3…9514 · Hugging Face

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NayanaVQA.Q3_K_M.gguf

gguf · 3.20 GB · SHA-256 b54f10177e76…a386 · Hugging Face

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NayanaVQA.Q3_K_S.gguf

gguf · 3.03 GB · SHA-256 b6b062269302…63e7 · Hugging Face

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NayanaVQA.Q4_K_M.gguf

gguf · 3.95 GB · SHA-256 261e2e74769d…201f · Hugging Face

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NayanaVQA.Q4_K_S.gguf

gguf · 3.82 GB · SHA-256 db33b73ac5e3…4c4b · Hugging Face

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NayanaVQA.Q5_K_M.gguf

gguf · 4.61 GB · SHA-256 802abb7d80ee…d0be · Hugging Face

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NayanaVQA.Q5_K_S.gguf

gguf · 4.54 GB · SHA-256 1d2bf7a2aef1…c1a6 · Hugging Face

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NayanaVQA.Q6_K.gguf

gguf · 5.31 GB · SHA-256 1344c45cf944…d812 · Hugging Face

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NayanaVQA.Q8_0.gguf

gguf · 6.85 GB · SHA-256 b5f6bc3d8cff…a7cd · Hugging Face

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Source excerpts

3 excerpts
ReadmeAug 6huggingface.co/mradermacher/NayanaVQA-GGUF

--- base_model: Nayana-cognitivelab/NayanaVQA datasets: - Nayana-cognitivelab/NayanaVQA-SFT language: - kn library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - text-generation-inference - transformers - unsloth - gemma3n - vqa - document-vqa - visual-question-answering - vision-language - kannada --- ## 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/Nayana-cognitivelab/NayanaVQA <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#NayanaVQA-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/NayanaVQA-GGUF/resolve/main/NayanaVQA.Q2_K.gguf) | Q2_K | 2.9 | | | [GGUF](https://huggingface.co/mradermacher/NayanaVQA-GGUF/resolve/main/NayanaVQA.Q3_K_S.gguf) | Q3_K_S | 3.4 | | | [GGUF](https://huggingface.co/mradermacher/NayanaVQA-GGUF/resolve/main/NayanaVQA.Q3_K_M.gguf) | Q3_K_M | 3.5 | lower quality | | [GGUF](https://huggingface.co/mradermacher/NayanaVQA-GGUF/resolve/main/NayanaVQA.Q3_K_L.gguf) | Q3_K_L | 3.7 | | | [GGUF](https://huggingface.co/mradermacher/NayanaVQA-GGUF/resolve/main/NayanaVQA.IQ4_XS.gguf) | IQ4_XS | 4.0 | | | [GGUF](https://huggingface.co/mradermacher/NayanaVQA-GGUF/resolve/main/NayanaVQA.Q4_K_S.gguf) | Q4_K_S | 4.2 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/NayanaVQA-GGUF/resolve/main/NayanaVQA.Q4_K_M.gguf) | Q4_K_M | 4.3 | fast, recommended | | [GGUF]...

NoteOct 23huggingface.co/mradermacher/NayanaVQA-GGUF

Source context: 140 downloads · 0 likes · Pipeline visual-question-answering · Library transformers · Repo mradermacher/NayanaVQA-GGUF

NoteAug 6huggingface.co/mradermacher/NayanaVQA-GGUF

Source context: 127 downloads · 0 likes · Pipeline visual-question-answering · Library transformers · Repo mradermacher/NayanaVQA-GGUF