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Gemma 4 Novelist 31B GGUF

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

ArtOtherBasismodellAteron/Gemma-4-Novelist-31BVersionRevision 610da85Verleger@mradermacherCBewertung

Modellquelle

Art
Other
Dateigröße
772 MB–30,4 GB
Basismodell
Ateron/Gemma-4-Novelist-31B
Version
vRevision 610da85
Aktualisiert
25. Sept. 2026
Downloads
880
Parameter
31B
Quelle
Hugging Face

Quellenbeschreibung

About

static quants of https://huggingface.co/Ateron/Gemma-4-Novelist-31B

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Gemma-4-Novelist-31B-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_00.9multi-modal supplement
GGUFmmproj-f161.3multi-modal supplement
GGUFQ2_K12.0
GGUFQ3_K_S13.9
GGUFQ3_K_M15.4lower quality
GGUFQ3_K_L16.7
GGUFIQ4_XS17.0
GGUFQ4_K_S17.9fast, recommended
GGUFQ4_K_M18.8fast, recommended
GGUFQ5_K_S21.4
GGUFQ5_K_M21.9
GGUFQ6_K25.3very good quality
GGUFQ8_032.7fast, best quality

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.

Quellen

1 Quelle
Hugging FacePrimärVersion 610da850274b70d56bb09a20925c2ab9c1717cd7
huggingface.co/mradermacher/Gemma-4-Novelist-31B-GGUF/tree/610da850274b70d56bb09a20925c2ab9c1717cd7

Verifiziert 25. Sept.

Modellartefakte

13 Artefakte

Gemma-4-Novelist-31B.IQ4_XS.gguf

gguf · 15,7 GB · SHA-256 531d15f12d80…cce2 · Hugging Face

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Gemma-4-Novelist-31B.mmproj-f16.gguf

gguf · 1,12 GB · SHA-256 59d5ad159fdd…17cd · Hugging Face

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Gemma-4-Novelist-31B.mmproj-Q8_0.gguf

gguf · 772 MB · SHA-256 508bffea031b…cf11 · Hugging Face

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Gemma-4-Novelist-31B.Q2_K.gguf

gguf · 11,1 GB · SHA-256 4de2f869e12c…45fa · Hugging Face

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Gemma-4-Novelist-31B.Q3_K_L.gguf

gguf · 15,5 GB · SHA-256 f58e6f053d7f…a96d · Hugging Face

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Gemma-4-Novelist-31B.Q3_K_M.gguf

gguf · 14,2 GB · SHA-256 21d18a6e2936…0632 · Hugging Face

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Gemma-4-Novelist-31B.Q3_K_S.gguf

gguf · 12,8 GB · SHA-256 447cf3e2ea04…ca5e · Hugging Face

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Gemma-4-Novelist-31B.Q4_K_M.gguf

gguf · 17,4 GB · SHA-256 de73344cc8e2…ed97 · Hugging Face

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Gemma-4-Novelist-31B.Q4_K_S.gguf

gguf · 16,5 GB · SHA-256 18309d6d327c…5a63 · Hugging Face

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Gemma-4-Novelist-31B.Q5_K_M.gguf

gguf · 20,3 GB · SHA-256 ac95cd90a2bf…a451 · Hugging Face

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Gemma-4-Novelist-31B.Q5_K_S.gguf

gguf · 19,8 GB · SHA-256 9c02b80a64bc…2810 · Hugging Face

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Gemma-4-Novelist-31B.Q6_K.gguf

gguf · 23,5 GB · SHA-256 ae35809064eb…779a · Hugging Face

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Gemma-4-Novelist-31B.Q8_0.gguf

gguf · 30,4 GB · SHA-256 cefb1e8f858a…0bed · Hugging Face

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Quellenauszüge

3 Auszüge

--- base_model: Ateron/Gemma-4-Novelist-31B language: - en library_name: transformers license: apache-2.0 model_creator: Blazed-Forge mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - merge - mergekit - creative-writing - storytelling --- ## 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/Ateron/Gemma-4-Novelist-31B <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Gemma-4-Novelist-31B-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Gemma-4-Novelist-31B-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/Gemma-4-Novelist-31B-GGUF/resolve/main/Gemma-4-Novelist-31B.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.9 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/Gemma-4-Novelist-31B-GGUF/resolve/main/Gemma-4-Novelist-31B.mmproj-f16.gguf) | mmproj-f16 | 1.3 | multi-modal supplement | | [GGUF](https://huggingface.co/mradermacher/Gemma-4-Novelist-31B-GGUF/resolve/main/Gemma-4-Novelist-31B.Q2_K.gguf) | Q2_K | 12.0 | | | [GGUF](https://huggingface.co/mradermacher/Gemma-4-Novelist-31B-GGUF/resolve/main/Gemma-4-Novelist-31B.Q3_K_S.gguf) | Q3_K_S | 13.9 | | | [GGUF](https://huggingface.co/mradermacher/Gemma-4-Novelist-31B-GGUF/resolve/main/Gemma-4-Novelist-31B.Q3_K_M.gguf) | Q3_K_M | 15.4 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Gemma-4-Novelist-31B-GGUF/resolve/main/Gemma-4-Novelist-31B.Q3_K_L.gguf) | Q3_K_L | 16.7 | | | [GGUF](https://huggingface.co/mradermacher/Gemma-4-Novelist-31B-GGUF/resolve/main/Gemma-4-Novelist-31B.IQ4_XS.gguf) | IQ4_XS | 17.0 | | | [GGUF](https://huggingface.co/mradermach...

Source context: 880 downloads · 2 likes · Library transformers · Repo mradermacher/Gemma-4-Novelist-31B-GGUF

Source context: 5066 downloads · 0 likes · Library transformers · Repo mradermacher/Gemma-4-Novelist-31B-GGUF