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Gemma 4 12B Queen It Qat Q4 0 Unquantized GGUF

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

Fuentehuggingface.co/mradermacher/gemma-4-12B-Queen-it-qat-q4_0-unquantized-GGUF/tree/fb36a0c39fb36a68b1627d29ec44fdb959082dd3
TipoOtherModelo baseaifeifei798/gemma-4-12B-Queen-it-qat-q4_0-unquantizedVersiónRevision fb36a0cBcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
4,50–6,87 GB
Modelo base
aifeifei798/gemma-4-12B-Queen-it-qat-q4_0-unquantized
Versión
vRevision fb36a0c
Actualizado
9 oct 2026
Descargas
368
Fuente
Hugging Face

Descripción de la fuente

About

static quants of https://huggingface.co/aifeifei798/gemma-4-12B-Queen-it-qat-q4_0-unquantized

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-4-12B-Queen-it-qat-q4_0-unquantized-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
GGUFQ2_K4.9
GGUFQ3_K_S5.6
GGUFQ3_K_M6.2lower quality
GGUFQ3_K_L6.7
GGUFIQ4_XS6.8
GGUFQ4_K_S7.1fast, recommended
GGUFQ4_K_M7.5fast, 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.

Fuentes

1 fuente
Hugging FacePrincipalVersión fb36a0c39fb36a68b1627d29ec44fdb959082dd3
huggingface.co/mradermacher/gemma-4-12B-Queen-it-qat-q4_0-unquantized-GGUF/tree/fb36a0c39fb36a68b1627d29ec44fdb959082dd3

Verificado 25 ago

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Artefactos del modelo

7 artefactos

gemma-4-12B-Queen-it-qat-q4_0-unquantized.IQ4_XS.gguf

gguf · 6,23 GB · SHA-256 2072fe5a2cf2…be80 · Hugging Face

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gemma-4-12B-Queen-it-qat-q4_0-unquantized.Q2_K.gguf

gguf · 4,50 GB · SHA-256 602501ed0537…8b60 · Hugging Face

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gemma-4-12B-Queen-it-qat-q4_0-unquantized.Q3_K_L.gguf

gguf · 6,12 GB · SHA-256 0e67615f94b4…0c7d · Hugging Face

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gemma-4-12B-Queen-it-qat-q4_0-unquantized.Q3_K_M.gguf

gguf · 5,67 GB · SHA-256 66b4eab31029…4568 · Hugging Face

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gemma-4-12B-Queen-it-qat-q4_0-unquantized.Q3_K_S.gguf

gguf · 5,15 GB · SHA-256 36fbbfc32134…9bd1 · Hugging Face

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gemma-4-12B-Queen-it-qat-q4_0-unquantized.Q4_K_M.gguf

gguf · 6,87 GB · SHA-256 ca743fbd372b…e9f4 · Hugging Face

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gemma-4-12B-Queen-it-qat-q4_0-unquantized.Q4_K_S.gguf

gguf · 6,54 GB · SHA-256 c348c1fae873…cab8 · Hugging Face

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Extractos de fuentes

2 extractos
Readme25 agohuggingface.co/mradermacher/gemma-4-12B-Queen-it-qat-q4_0-unquantized-GGUF

--- base_model: aifeifei798/gemma-4-12B-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: --> <!-- ### quants: Q4_K_S Q2_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M IQ4_XS --> <!-- ### quants_skip: --> <!-- ### skip_mmproj: 1 --> static quants of https://huggingface.co/aifeifei798/gemma-4-12B-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-4-12B-Queen-it-qat-q4_0-unquantized-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/gemma-4-12B-Queen-it-qat-q4_0-unquantized-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-4-12B-Queen-it-qat-q4_0-unquantized-GGUF/resolve/main/gemma-4-12B-Queen-it-qat-q4_0-unquantized.Q2_K.gguf) | Q2_K | 4.9 | | | [GGUF](https://huggingface.co/mradermacher/gemma-4-12B-Queen-it-qat-q4_0-unquantized-GGUF/resolve/main/gemma-4-12B-Queen-it-qat-q4_0-unquantized.Q3_K_S.gguf) | Q3_K_S | 5.6 | | | [GGUF](https://huggingface.co/mradermacher/gemma-4-12B-Queen-it-qat-q4_0-unquantized-GGUF/resolve/main/gemma-4-12B-Queen-it-qat-q4_0-unquantized.Q3_K_M.gguf) | Q3_K_M | 6.2 | lower quality | | [GGUF](https://huggingface.co/mradermacher/gemma-4-12B-Queen-it-qat-q4_0-unquantized-GGUF/resolve/main/gemma-4-12B-Queen-it-qat-q4_0-unquantized.Q3_K_L.gguf) | Q3_K_L | 6.7 | | | [GGUF](https://huggingface.co/mradermacher/gemma-4-12B-Queen-it-qat-q4_0-unquantized-GGUF/resolve/main/gemma-4-12B-Queen-it-qat-q4_0-unquantized.IQ4_XS.gguf) | IQ4_XS | 6.8 | | | [GGUF](https://huggingface.co/mradermacher/gemma-4-12B-Queen-it-qat-q4_0-unquantized-G...

Note25 agohuggingface.co/mradermacher/gemma-4-12B-Queen-it-qat-q4_0-unquantized-GGUF

Source context: 368 downloads · 3 likes · Pipeline any-to-any · Library transformers · Repo mradermacher/gemma-4-12B-Queen-it-qat-q4_0-unquantized-GGUF