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Gemma 4 26B A4B 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-4-26B-A4B-it-qat-q4_0-unquantized-i1-GGUF/tree/c75ccb521f0418b93f4323ac5abb0b37b68a74cd
TypeOtherModèle de basegoogle/gemma-4-26B-A4B-it-qat-q4_0-unquantizedVersionRevision c75ccb5Éditeur@mradermacherCClasse

Source du modèle

Type
Other
Taille du fichier
54,3 MB–15,6 GB
Modèle de base
google/gemma-4-26B-A4B-it-qat-q4_0-unquantized
Version
vRevision c75ccb5
Mis à jour
3 oct. 2026
Éditeur
@mradermacher
Téléchargements
1,6 k
Paramètres
26B
Source
Hugging Face

Description de la source

About

weighted/imatrix quants of https://huggingface.co/google/gemma-4-26B-A4B-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-4-26B-A4B-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
GGUFimatrix0.2imatrix file (for creating your own quants)
GGUFi1-IQ1_S8.4for the desperate
GGUFi1-IQ1_M8.8mostly desperate
GGUFi1-IQ2_XXS9.4
GGUFi1-IQ2_XS9.9
GGUFi1-IQ2_S10.0
GGUFi1-IQ2_M10.5
GGUFi1-Q2_K10.7IQ3_XXS probably better
GGUFi1-Q2_K_S10.7very low quality
GGUFi1-IQ3_XXS11.4lower quality
GGUFi1-IQ3_XS11.7
GGUFi1-IQ3_S12.3beats Q3_K*
GGUFi1-Q3_K_S12.3IQ3_XS probably better
GGUFi1-IQ3_M12.5
GGUFi1-Q3_K_M13.4IQ3_S probably better
GGUFi1-Q3_K_L13.9IQ3_M probably better
GGUFi1-IQ4_XS14.0
GGUFi1-Q4_014.6fast, low quality
GGUFi1-Q4_K_S15.6optimal size/speed/quality
GGUFi1-Q4_116.1
GGUFi1-Q4_K_M16.9fast, recommended

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 c75ccb521f0418b93f4323ac5abb0b37b68a74cd
huggingface.co/mradermacher/gemma-4-26B-A4B-it-qat-q4_0-unquantized-i1-GGUF/tree/c75ccb521f0418b93f4323ac5abb0b37b68a74cd

Vérifié 3 oct.

Artefacts du modèle

21 artefacts

gemma-4-26B-A4B-it-qat-q4_0-unquantized.i1-IQ1_M.gguf

gguf · 8,07 GB · SHA-256 fe3d52023b9a…3a02 · Hugging Face

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gemma-4-26B-A4B-it-qat-q4_0-unquantized.i1-IQ1_S.gguf

gguf · 7,72 GB · SHA-256 685fa10f51c9…037f · Hugging Face

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gemma-4-26B-A4B-it-qat-q4_0-unquantized.i1-IQ2_M.gguf

gguf · 9,67 GB · SHA-256 8ca1fbeab891…96a2 · Hugging Face

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gemma-4-26B-A4B-it-qat-q4_0-unquantized.i1-IQ2_S.gguf

gguf · 9,20 GB · SHA-256 a0f547c0382e…f29f · Hugging Face

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gemma-4-26B-A4B-it-qat-q4_0-unquantized.i1-IQ2_XS.gguf

gguf · 9,14 GB · SHA-256 2649e7dac3be…9258 · Hugging Face

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gemma-4-26B-A4B-it-qat-q4_0-unquantized.i1-IQ2_XXS.gguf

gguf · 8,66 GB · SHA-256 bfc9b9404c99…4625 · Hugging Face

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gemma-4-26B-A4B-it-qat-q4_0-unquantized.i1-IQ3_M.gguf

gguf · 11,5 GB · SHA-256 0caac22d2659…7aa9 · Hugging Face

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gemma-4-26B-A4B-it-qat-q4_0-unquantized.i1-IQ3_S.gguf

gguf · 11,4 GB · SHA-256 bc65715dc24b…d143 · Hugging Face

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gemma-4-26B-A4B-it-qat-q4_0-unquantized.i1-IQ3_XS.gguf

gguf · 10,8 GB · SHA-256 e598c641750c…dfb3 · Hugging Face

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gemma-4-26B-A4B-it-qat-q4_0-unquantized.i1-IQ3_XXS.gguf

gguf · 10,5 GB · SHA-256 e9a6ce1b626c…ccdc · Hugging Face

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gemma-4-26B-A4B-it-qat-q4_0-unquantized.i1-IQ4_XS.gguf

gguf · 13,0 GB · SHA-256 2815eaa3a44d…a9cb · Hugging Face

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gemma-4-26B-A4B-it-qat-q4_0-unquantized.i1-Q2_K_S.gguf

gguf · 9,89 GB · SHA-256 939b0e1508cc…c63d · Hugging Face

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gemma-4-26B-A4B-it-qat-q4_0-unquantized.i1-Q2_K.gguf

gguf · 9,86 GB · SHA-256 325ad4050974…5695 · Hugging Face

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gemma-4-26B-A4B-it-qat-q4_0-unquantized.i1-Q3_K_L.gguf

gguf · 12,9 GB · SHA-256 7551073fda89…d483 · Hugging Face

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gemma-4-26B-A4B-it-qat-q4_0-unquantized.i1-Q3_K_M.gguf

gguf · 12,4 GB · SHA-256 fa2f4cd881e2…c4c4 · Hugging Face

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gemma-4-26B-A4B-it-qat-q4_0-unquantized.i1-Q3_K_S.gguf

gguf · 11,4 GB · SHA-256 003b8fbdac95…afbb · Hugging Face

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gemma-4-26B-A4B-it-qat-q4_0-unquantized.i1-Q4_0.gguf

gguf · 13,5 GB · SHA-256 cc877d6ef007…821a · Hugging Face

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gemma-4-26B-A4B-it-qat-q4_0-unquantized.i1-Q4_1.gguf

gguf · 14,9 GB · SHA-256 b8fa093db200…4e3e · Hugging Face

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gemma-4-26B-A4B-it-qat-q4_0-unquantized.i1-Q4_K_M.gguf

gguf · 15,6 GB · SHA-256 17c581b19932…d02d · Hugging Face

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gemma-4-26B-A4B-it-qat-q4_0-unquantized.i1-Q4_K_S.gguf

gguf · 14,4 GB · SHA-256 337a6b8258e7…50a9 · Hugging Face

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gemma-4-26B-A4B-it-qat-q4_0-unquantized.imatrix.gguf

gguf · 54,3 MB · SHA-256 80303aed20bf…c98b · Hugging Face

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Extraits de sources

3 extraits
Readme11 juil.huggingface.co/mradermacher/gemma-4-26B-A4B-it-qat-q4_0-unquantized-i1-GGUF

--- base_model: google/gemma-4-26B-A4B-it-qat-q4_0-unquantized language: - en library_name: transformers license: apache-2.0 license_link: https://ai.google.dev/gemma/docs/gemma_4_license mradermacher: readme_rev: 1 quantized_by: mradermacher --- ## 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/google/gemma-4-26B-A4B-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-4-26B-A4B-it-qat-q4_0-unquantized-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/gemma-4-26B-A4B-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-4-26B-A4B-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-4-26B-A4B-it-qat-q4_0-unquantized-i1-GGUF/resolve/main/gemma-4-26B-A4B-it-qat-q4_0-unquantized.imatrix.gguf) | imatrix | 0.2 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/gemma-4-26B-A4B-it-qat-q4_0-unquantized-i1-GGUF/resolve/main/gemma-4-26B-A4B-it-qat-q4_0-unquantized.i1-IQ1_S.gguf) | i1-IQ1_S | 8.4 | for the desperate | | [GGUF](https://huggingface.co/mradermacher/gemma-4-26B-A4B-it-qat-q4_0-unquantized-i1-GGUF/resolve/main/gemma-4-26B-A4B-it-qat-q4_0-unquantized.i1-IQ1_M.gguf) | i1-IQ1_M | 8.8 | mostly desperate | | [GGUF](https://huggingface.co/mradermacher/gemma-4-26B-A4B-it-qat-q4_0-unquantized-i1-GGUF/resolve/main/gemma-4-26B-A4B-it-qat-q4_0-unquantized.i1-IQ2_XXS.g...

Note3 oct.huggingface.co/mradermacher/gemma-4-26B-A4B-it-qat-q4_0-unquantized-i1-GGUF

Source context: 1622 downloads · 2 likes · Library transformers · Repo mradermacher/gemma-4-26B-A4B-it-qat-q4_0-unquantized-i1-GGUF

Note17 juil.huggingface.co/mradermacher/gemma-4-26B-A4B-it-qat-q4_0-unquantized-i1-GGUF

Source context: 1731 downloads · 1 likes · Library transformers · Repo mradermacher/gemma-4-26B-A4B-it-qat-q4_0-unquantized-i1-GGUF