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Gemma 4 31B Queen It Qat Q4 0 Unquantized I1 GGUF

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

Sourcehuggingface.co/mradermacher/gemma-4-31B-Queen-it-qat-q4_0-unquantized-i1-GGUF/tree/64334180afd992d32b3192c49efe35b1824b4396
TypeOtherModèle de baseaifeifei798/gemma-4-31B-Queen-it-qat-q4_0-unquantizedVersionRevision 6433418Éditeur@mradermacherCClasse

Source du modèle

Type
Other
Taille du fichier
13,1 MB–18,1 GB
Modèle de base
aifeifei798/gemma-4-31B-Queen-it-qat-q4_0-unquantized
Version
vRevision 6433418
Mis à jour
21 oct. 2026
Éditeur
@mradermacher
Téléchargements
1,6 k
Paramètres
31B
Source
Hugging Face

Description de la source

About

weighted/imatrix quants of https://huggingface.co/aifeifei798/gemma-4-31B-Queen-it-qat-q4_0-unquantized

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

static quants are available at https://huggingface.co/mradermacher/gemma-4-31B-Queen-it-qat-q4_0-unquantized-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

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 FacePrincipalVersion 64334180afd992d32b3192c49efe35b1824b4396
huggingface.co/mradermacher/gemma-4-31B-Queen-it-qat-q4_0-unquantized-i1-GGUF/tree/64334180afd992d32b3192c49efe35b1824b4396

Vérifié 21 oct.

Artefacts du modèle

21 artefacts

gemma-4-31B-Queen-it-qat-q4_0-unquantized.i1-IQ1_M.gguf

gguf · 7,20 GB · SHA-256 75e734ca9fb5…1d7a · Hugging Face

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gemma-4-31B-Queen-it-qat-q4_0-unquantized.i1-IQ1_S.gguf

gguf · 6,67 GB · SHA-256 0521223c9219…1b51 · Hugging Face

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gemma-4-31B-Queen-it-qat-q4_0-unquantized.i1-IQ2_M.gguf

gguf · 10,2 GB · SHA-256 5484fc2d062f…2ea4 · Hugging Face

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gemma-4-31B-Queen-it-qat-q4_0-unquantized.i1-IQ2_S.gguf

gguf · 9,46 GB · SHA-256 0a8575ee817f…0a13 · Hugging Face

Télécharger

gemma-4-31B-Queen-it-qat-q4_0-unquantized.i1-IQ2_XS.gguf

gguf · 8,88 GB · SHA-256 05146e6d2648…47e4 · Hugging Face

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gemma-4-31B-Queen-it-qat-q4_0-unquantized.i1-IQ2_XXS.gguf

gguf · 8,08 GB · SHA-256 492bf8225aa4…56b9 · Hugging Face

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gemma-4-31B-Queen-it-qat-q4_0-unquantized.i1-IQ3_M.gguf

gguf · 13,4 GB · SHA-256 bd2dc9c12fbf…669d · Hugging Face

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gemma-4-31B-Queen-it-qat-q4_0-unquantized.i1-IQ3_S.gguf

gguf · 12,8 GB · SHA-256 05c9a863f8a7…99ce · Hugging Face

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gemma-4-31B-Queen-it-qat-q4_0-unquantized.i1-IQ3_XS.gguf

gguf · 12,2 GB · SHA-256 559e8aca9823…30a5 · Hugging Face

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gemma-4-31B-Queen-it-qat-q4_0-unquantized.i1-IQ3_XXS.gguf

gguf · 11,2 GB · SHA-256 8887f03ef8c7…f931 · Hugging Face

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gemma-4-31B-Queen-it-qat-q4_0-unquantized.i1-IQ4_XS.gguf

gguf · 15,6 GB · SHA-256 f8167dfe619a…897b · Hugging Face

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gemma-4-31B-Queen-it-qat-q4_0-unquantized.i1-Q2_K_S.gguf

gguf · 10,2 GB · SHA-256 6df18f63b2d6…9d6d · Hugging Face

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gemma-4-31B-Queen-it-qat-q4_0-unquantized.i1-Q2_K.gguf

gguf · 11,1 GB · SHA-256 1cc2a094fb49…f9d0 · Hugging Face

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gemma-4-31B-Queen-it-qat-q4_0-unquantized.i1-Q3_K_L.gguf

gguf · 15,5 GB · SHA-256 23c106adcd33…1c49 · Hugging Face

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gemma-4-31B-Queen-it-qat-q4_0-unquantized.i1-Q3_K_M.gguf

gguf · 14,2 GB · SHA-256 843106bba184…24f9 · Hugging Face

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gemma-4-31B-Queen-it-qat-q4_0-unquantized.i1-Q3_K_S.gguf

gguf · 12,8 GB · SHA-256 f028d53c7591…295d · Hugging Face

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gemma-4-31B-Queen-it-qat-q4_0-unquantized.i1-Q4_0.gguf

gguf · 16,5 GB · SHA-256 dec89745dfab…d555 · Hugging Face

Télécharger

gemma-4-31B-Queen-it-qat-q4_0-unquantized.i1-Q4_1.gguf

gguf · 18,1 GB · SHA-256 f6d6a03f3e5d…42ff · Hugging Face

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gemma-4-31B-Queen-it-qat-q4_0-unquantized.i1-Q4_K_M.gguf

gguf · 17,4 GB · SHA-256 8c0915fd8fa7…a44f · Hugging Face

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gemma-4-31B-Queen-it-qat-q4_0-unquantized.i1-Q4_K_S.gguf

gguf · 16,5 GB · SHA-256 d8cab6119cf1…5cce · Hugging Face

Télécharger

gemma-4-31B-Queen-it-qat-q4_0-unquantized.imatrix.gguf

gguf · 13,1 MB · SHA-256 ddff4a749a28…3e46 · Hugging Face

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Extraits de sources

3 extraits
Readme11 juil.huggingface.co/mradermacher/gemma-4-31B-Queen-it-qat-q4_0-unquantized-i1-GGUF

--- base_model: aifeifei798/gemma-4-31B-Queen-it-qat-q4_0-unquantized language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - roleplay - gemma - gemma4 - sillytavern - idol - pytorch - DarkIdol - Queen - any-to-any - OpenClaw --- ## 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 IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS IQ2_S IQ1_S Q4_0 IQ3_XS Q4_1 IQ3_S --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: 1 --> weighted/imatrix quants of https://huggingface.co/aifeifei798/gemma-4-31B-Queen-it-qat-q4_0-unquantized <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#gemma-4-31B-Queen-it-qat-q4_0-unquantized-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/gemma-4-31B-Queen-it-qat-q4_0-unquantized-GGUF **This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/gemma-4-31B-Queen-it-qat-q4_0-unquantized-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-4-31B-Queen-it-qat-q4_0-unquantized-i1-GGUF/resolve/main/gemma-4-31B-Queen-it-qat-q4_0-unquantized.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/gemma-4-31B-Queen-it-qat-q4_0-unquantized-i1-GGUF/resolve/main/gemma-4-31B-Queen-it-qat-q4_0-unquantized.i1-IQ1_S.gguf) | i1-IQ1_S | 7.3 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/gemma-4-31B-Queen-it-qat-q4_0-unquantized-i1-GGUF/resolve/main/gemma-4-31B-Queen-it-qat-q4_0-unquantized.i1-IQ1_M.gguf) | i1-IQ1_M | 7.8 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/gemma-4-31B-Queen-it-qat-q4_0-unquan...

Note21 oct.huggingface.co/mradermacher/gemma-4-31B-Queen-it-qat-q4_0-unquantized-i1-GGUF

Source context: 1587 downloads · 5 likes · Pipeline any-to-any · Library transformers · Repo mradermacher/gemma-4-31B-Queen-it-qat-q4_0-unquantized-i1-GGUF

Note5 aoûthuggingface.co/mradermacher/gemma-4-31B-Queen-it-qat-q4_0-unquantized-i1-GGUF

Source context: 10047 downloads · 5 likes · Pipeline any-to-any · Library transformers · Repo mradermacher/gemma-4-31B-Queen-it-qat-q4_0-unquantized-i1-GGUF