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Darkidol Gemma 4 E2B It I1 GGUF

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

Sourcehuggingface.co/mradermacher/Darkidol-Gemma-4-E2B-it-i1-GGUF/tree/91996100ede3ea39d2d17731f84112404f8afe72
KindOtherBase modelaifeifei798/Darkidol-Gemma-4-E2B-itVersionRevision 9199610

Model source

Kind
Other
File size
2.69 MB–3.58 GB
Base model
aifeifei798/Darkidol-Gemma-4-E2B-it
Version
vRevision 9199610
Updated
Sep 26, 2026
Downloads
732
Source
Hugging Face

Source description

About

weighted/imatrix quants of https://huggingface.co/aifeifei798/Darkidol-Gemma-4-E2B-it

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

static quants are available at https://huggingface.co/mradermacher/Darkidol-Gemma-4-E2B-it-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-Q2_K3.1IQ3_XXS probably better
GGUFi1-Q3_K_S3.2IQ3_XS probably better
GGUFi1-IQ3_S3.2beats Q3_K*
GGUFi1-IQ3_M3.2
GGUFi1-Q3_K_M3.3IQ3_S probably better
GGUFi1-Q3_K_L3.4IQ3_M probably better
GGUFi1-IQ4_XS3.4
GGUFi1-IQ4_NL3.5prefer IQ4_XS
GGUFi1-Q4_03.5fast, low quality
GGUFi1-Q4_K_S3.5optimal size/speed/quality
GGUFi1-Q4_K_M3.5fast, recommended
GGUFi1-Q4_13.6
GGUFi1-Q5_K_S3.7
GGUFi1-Q5_K_M3.7
GGUFi1-Q6_K3.9practically 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 91996100ede3ea39d2d17731f84112404f8afe72
huggingface.co/mradermacher/Darkidol-Gemma-4-E2B-it-i1-GGUF/tree/91996100ede3ea39d2d17731f84112404f8afe72

Verified Sep 26

Model artifacts

16 artifacts

Darkidol-Gemma-4-E2B-it.i1-IQ3_M.gguf

gguf · 2.92 GB · SHA-256 c37bafb3528f…a841 · Hugging Face

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Darkidol-Gemma-4-E2B-it.i1-IQ3_S.gguf

gguf · 2.90 GB · SHA-256 484464a81bfc…6fcd · Hugging Face

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Darkidol-Gemma-4-E2B-it.i1-IQ4_NL.gguf

gguf · 3.13 GB · SHA-256 6d5889d1f173…2c06 · Hugging Face

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Darkidol-Gemma-4-E2B-it.i1-IQ4_XS.gguf

gguf · 3.08 GB · SHA-256 1a215f5f0e1d…6a54 · Hugging Face

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Darkidol-Gemma-4-E2B-it.i1-Q2_K.gguf

gguf · 2.78 GB · SHA-256 7fc2125475b1…07db · Hugging Face

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Darkidol-Gemma-4-E2B-it.i1-Q3_K_L.gguf

gguf · 3.06 GB · SHA-256 47dcf4b0d15a…5062 · Hugging Face

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Darkidol-Gemma-4-E2B-it.i1-Q3_K_M.gguf

gguf · 2.98 GB · SHA-256 23fe96d0d15c…6d28 · Hugging Face

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Darkidol-Gemma-4-E2B-it.i1-Q3_K_S.gguf

gguf · 2.90 GB · SHA-256 8e8e20eba338…85fb · Hugging Face

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Darkidol-Gemma-4-E2B-it.i1-Q4_0.gguf

gguf · 3.13 GB · SHA-256 d0b32d5eef86…efa3 · Hugging Face

Download

Darkidol-Gemma-4-E2B-it.i1-Q4_1.gguf

gguf · 3.24 GB · SHA-256 0125ef1d5e79…9808 · Hugging Face

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Darkidol-Gemma-4-E2B-it.i1-Q4_K_M.gguf

gguf · 3.19 GB · SHA-256 c72ddc2d3a55…938e · Hugging Face

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Darkidol-Gemma-4-E2B-it.i1-Q4_K_S.gguf

gguf · 3.13 GB · SHA-256 23d616c03427…33bf · Hugging Face

Download

Darkidol-Gemma-4-E2B-it.i1-Q5_K_M.gguf

gguf · 3.38 GB · SHA-256 e30557731ea6…118e · Hugging Face

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Darkidol-Gemma-4-E2B-it.i1-Q5_K_S.gguf

gguf · 3.35 GB · SHA-256 0368ef4fd95e…b409 · Hugging Face

Download

Darkidol-Gemma-4-E2B-it.i1-Q6_K.gguf

gguf · 3.58 GB · SHA-256 c14629adf53e…a5de · Hugging Face

Download

Darkidol-Gemma-4-E2B-it.imatrix.gguf

gguf · 2.69 MB · SHA-256 4f23706e741c…3912 · Hugging Face

Download

Source excerpts

2 excerpts
ReadmeSep 26huggingface.co/mradermacher/Darkidol-Gemma-4-E2B-it-i1-GGUF

--- base_model: aifeifei798/Darkidol-Gemma-4-E2B-it 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 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: --> weighted/imatrix quants of https://huggingface.co/aifeifei798/Darkidol-Gemma-4-E2B-it <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Darkidol-Gemma-4-E2B-it-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/Darkidol-Gemma-4-E2B-it-GGUF **This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/Darkidol-Gemma-4-E2B-it-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/Darkidol-Gemma-4-E2B-it-i1-GGUF/resolve/main/Darkidol-Gemma-4-E2B-it.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/Darkidol-Gemma-4-E2B-it-i1-GGUF/resolve/main/Darkidol-Gemma-4-E2B-it.i1-Q2_K.gguf) | i1-Q2_K | 3.1 | IQ3_XXS probably better | | [GGUF](https://huggingface.co/mradermacher/Darkidol-Gemma-4-E2B-it-i1-GGUF/resolve/main/Darkidol-Gemma-4-E2B-it.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.2 | IQ3_XS probably better | | [GGUF](https://huggingface.co/mradermacher/Darkidol-Gemma-4-E2B-it-i1-GGUF/resolve/main/Darkidol-Gemma-4-E2B-it.i1-IQ3_S.gguf) | i1-IQ3_S | 3.2 | beats Q3_K* | | [GGUF](https://huggingface.co/mradermacher/Darkidol-Gemma-4-E2B-it-i1-GGUF/resolve/mai...

NoteSep 26huggingface.co/mradermacher/Darkidol-Gemma-4-E2B-it-i1-GGUF

Source context: 732 downloads · 2 likes · Pipeline any-to-any · Library transformers · Repo mradermacher/Darkidol-Gemma-4-E2B-it-i1-GGUF