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Versipellis 31B I1 GGUF

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

KindOtherBase modelNimbz/Versipellis-31BVersionRevision 3ccbc98Publisher@mradermacherCgrade

Model source

Kind
Other
File size
13.1 MB–23.5 GB
Base model
Nimbz/Versipellis-31B
Version
vRevision 3ccbc98
Updated
Oct 3, 2026
Publisher
@mradermacher
Downloads
1.9K
Parameters
31B
Source
Hugging Face

Source description

About

weighted/imatrix quants of https://huggingface.co/Nimbz/Versipellis-31B

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

static quants are available at https://huggingface.co/mradermacher/Versipellis-31B-GGUF

This is a vision model - mmproj files (if any) will be in the static repository.

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
GGUFimatrix0.1imatrix file (for creating your own quants)
GGUFi1-IQ1_S7.3for the desperate
GGUFi1-IQ1_M7.8mostly desperate
GGUFi1-IQ2_XXS8.8
GGUFi1-IQ2_XS9.6
GGUFi1-IQ2_S10.3
GGUFi1-IQ2_M11.0
GGUFi1-Q2_K_S11.1very low quality
GGUFi1-Q2_K12.0IQ3_XXS probably better
GGUFi1-IQ3_XXS12.2lower quality
GGUFi1-IQ3_XS13.2
GGUFi1-IQ3_S13.9beats Q3_K*
GGUFi1-Q3_K_S13.9IQ3_XS probably better
GGUFi1-IQ3_M14.5
GGUFi1-Q3_K_M15.4IQ3_S probably better
GGUFi1-Q3_K_L16.7IQ3_M probably better
GGUFi1-IQ4_XS16.8
GGUFi1-Q4_017.8fast, low quality
GGUFi1-Q4_K_S17.9optimal size/speed/quality
GGUFi1-Q4_K_M18.8fast, recommended
GGUFi1-Q4_119.6
GGUFi1-Q5_K_S21.4
GGUFi1-Q5_K_M21.9
GGUFi1-Q6_K25.3practically like static Q6_K

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
Hugging FacePrimaryVersion 3ccbc983bdafcf9b1919d28b46d90c2752360a8e
huggingface.co/mradermacher/Versipellis-31B-i1-GGUF/tree/3ccbc983bdafcf9b1919d28b46d90c2752360a8e

Verified Oct 3

Model artifacts

24 artifacts

Versipellis-31B.i1-IQ1_M.gguf

gguf · 7.20 GB · SHA-256 22d5b1c743fc…87ba · Hugging Face

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Versipellis-31B.i1-IQ1_S.gguf

gguf · 6.67 GB · SHA-256 a32933ae6e9d…c21d · Hugging Face

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Versipellis-31B.i1-IQ2_M.gguf

gguf · 10.2 GB · SHA-256 5f621d387687…d896 · Hugging Face

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Versipellis-31B.i1-IQ2_S.gguf

gguf · 9.46 GB · SHA-256 f71c96b2178a…1a6a · Hugging Face

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Versipellis-31B.i1-IQ2_XS.gguf

gguf · 8.88 GB · SHA-256 228e5a1ed48f…9454 · Hugging Face

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Versipellis-31B.i1-IQ2_XXS.gguf

gguf · 8.08 GB · SHA-256 ff9ed1a90f0e…cde7 · Hugging Face

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Versipellis-31B.i1-IQ3_M.gguf

gguf · 13.4 GB · SHA-256 33e339fb7f5d…aac8 · Hugging Face

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Versipellis-31B.i1-IQ3_S.gguf

gguf · 12.8 GB · SHA-256 fb28a57e1de5…086a · Hugging Face

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Versipellis-31B.i1-IQ3_XS.gguf

gguf · 12.2 GB · SHA-256 ec6880d46295…7a2f · Hugging Face

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Versipellis-31B.i1-IQ3_XXS.gguf

gguf · 11.2 GB · SHA-256 15992704046f…fcab · Hugging Face

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Versipellis-31B.i1-IQ4_XS.gguf

gguf · 15.6 GB · SHA-256 6c540653b9fb…1ca8 · Hugging Face

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Versipellis-31B.i1-Q2_K_S.gguf

gguf · 10.2 GB · SHA-256 7f2757584b1a…db86 · Hugging Face

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Versipellis-31B.i1-Q2_K.gguf

gguf · 11.1 GB · SHA-256 008221c696eb…a438 · Hugging Face

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Versipellis-31B.i1-Q3_K_L.gguf

gguf · 15.5 GB · SHA-256 fbc580ad766e…d0ad · Hugging Face

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Versipellis-31B.i1-Q3_K_M.gguf

gguf · 14.2 GB · SHA-256 0f6c463c3338…b569 · Hugging Face

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Versipellis-31B.i1-Q3_K_S.gguf

gguf · 12.8 GB · SHA-256 84a4052f9c92…0a98 · Hugging Face

Download

Versipellis-31B.i1-Q4_0.gguf

gguf · 16.5 GB · SHA-256 9c595ff772ce…f2a7 · Hugging Face

Download

Versipellis-31B.i1-Q4_1.gguf

gguf · 18.1 GB · SHA-256 ae919b3a7570…b50b · Hugging Face

Download

Versipellis-31B.i1-Q4_K_M.gguf

gguf · 17.4 GB · SHA-256 e2fed13d7fd1…a7d6 · Hugging Face

Download

Versipellis-31B.i1-Q4_K_S.gguf

gguf · 16.5 GB · SHA-256 9c3a5f6504d6…f74a · Hugging Face

Download

Versipellis-31B.i1-Q5_K_M.gguf

gguf · 20.3 GB · SHA-256 e3c85c735849…c7d1 · Hugging Face

Download

Versipellis-31B.i1-Q5_K_S.gguf

gguf · 19.8 GB · SHA-256 646afc26208b…3827 · Hugging Face

Download

Versipellis-31B.i1-Q6_K.gguf

gguf · 23.5 GB · SHA-256 32940debd211…6c27 · Hugging Face

Download

Versipellis-31B.imatrix.gguf

gguf · 13.1 MB · SHA-256 f2d35ca4e6f0…adbc · Hugging Face

Download

Source excerpts

3 excerpts

--- base_model: Nimbz/Versipellis-31B language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - merge - mergekit - reasoning - non-reasoning - creative writing - roleplay - conversational - uncensored - nsfw - 31B - gemma-4 --- ## About <!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: nicoboss --> <!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: 1 --> weighted/imatrix quants of https://huggingface.co/Nimbz/Versipellis-31B <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Versipellis-31B-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/Versipellis-31B-GGUF **This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/Versipellis-31B-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/Versipellis-31B-i1-GGUF/resolve/main/Versipellis-31B.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/Versipellis-31B-i1-GGUF/resolve/main/Versipellis-31B.i1-IQ1_S.gguf) | i1-IQ1_S | 7.3 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/Versipellis-31B-i1-GGUF/resolve/main/Versipellis-31B.i1-IQ1_M.gguf) | i1-IQ1_M | 7.8 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/Versipellis-31B-i1-GGUF/resolve/main/Versipellis-31B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 8.8 | | | [GGUF](https://huggingface.co/mradermacher/Versipellis-31B-i1-GGUF/resolve/main/Versipellis-31B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 9.6 | | | [GGUF](https://huggingface.co/mradermacher/Versipellis-3...

Source context: 1919 downloads · 3 likes · Library transformers · Repo mradermacher/Versipellis-31B-i1-GGUF

Source context: 3704 downloads · 3 likes · Library transformers · Repo mradermacher/Versipellis-31B-i1-GGUF