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Slimaki 24B v1.2 GGUF

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

Fontehuggingface.co/mradermacher/Slimaki-24B-v1.2-GGUF/tree/8b9a42670b4a82b1b6e66d3ca82771a3fcf03ef4
TipoOtherModelo baseNaphula/Slimaki-24B-v1.2VersãoRevision 8b9a426Publicador@mradermacherCnota

Fonte do modelo

Tipo
Other
Tamanho do arquivo
8,28–23,3 GB
Modelo base
Naphula/Slimaki-24B-v1.2
Versão
vRevision 8b9a426
Atualizado
23 de out. de 2026
Publicador
@mradermacher
Downloads
172
Fonte
Hugging Face

Descrição da fonte

About

static quants of https://huggingface.co/Naphula/Slimaki-24B-v1.2

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Slimaki-24B-v1.2-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_K9.0
GGUFQ3_K_S10.5
GGUFQ3_K_M11.6lower quality
GGUFQ3_K_L12.5
GGUFIQ4_XS13.0
GGUFQ4_K_S13.6fast, recommended
GGUFQ4_K_M14.4fast, recommended
GGUFQ5_K_S16.4
GGUFQ5_K_M16.9
GGUFQ6_K19.4very good quality
GGUFQ8_025.2fast, 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.

Fontes

1 fonte
Hugging FacePrimárioVersão 8b9a42670b4a82b1b6e66d3ca82771a3fcf03ef4
huggingface.co/mradermacher/Slimaki-24B-v1.2-GGUF/tree/8b9a42670b4a82b1b6e66d3ca82771a3fcf03ef4

Verificado 23 de out.

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Artefatos de modelo

11 artefatos

Slimaki-24B-v1.2.IQ4_XS.gguf

gguf · 12,0 GB · SHA-256 d5ddb4c4fbf1…4597 · Hugging Face

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Slimaki-24B-v1.2.Q2_K.gguf

gguf · 8,28 GB · SHA-256 44a2f6e2831d…25f9 · Hugging Face

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Slimaki-24B-v1.2.Q3_K_L.gguf

gguf · 11,5 GB · SHA-256 f5e2bc661bc3…8c75 · Hugging Face

Download file

Slimaki-24B-v1.2.Q3_K_M.gguf

gguf · 10,7 GB · SHA-256 336830785ab8…23e0 · Hugging Face

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Slimaki-24B-v1.2.Q3_K_S.gguf

gguf · 9,69 GB · SHA-256 8d88974a87b6…c6b9 · Hugging Face

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Slimaki-24B-v1.2.Q4_K_M.gguf

gguf · 13,3 GB · SHA-256 0c986afb180f…95a9 · Hugging Face

Download file

Slimaki-24B-v1.2.Q4_K_S.gguf

gguf · 12,6 GB · SHA-256 a85af7c61cc9…8758 · Hugging Face

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Slimaki-24B-v1.2.Q5_K_M.gguf

gguf · 15,6 GB · SHA-256 061ce09e2135…8bd9 · Hugging Face

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Slimaki-24B-v1.2.Q5_K_S.gguf

gguf · 15,2 GB · SHA-256 de8c3fb0851d…2a4d · Hugging Face

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Slimaki-24B-v1.2.Q6_K.gguf

gguf · 18,0 GB · SHA-256 f2f87370be2f…f954 · Hugging Face

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Slimaki-24B-v1.2.Q8_0.gguf

gguf · 23,3 GB · SHA-256 15256b1af544…1551 · Hugging Face

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Trechos de fonte

3 trechos
Readme11 de jul.huggingface.co/mradermacher/Slimaki-24B-v1.2-GGUF

--- base_model: Naphula/Slimaki-24B-v1.2 datasets: - OccultAI/illuminati_imatrix_v1 language: - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - merge - mergekit --- ## 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/Naphula/Slimaki-24B-v1.2 <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Slimaki-24B-v1.2-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Slimaki-24B-v1.2-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/Slimaki-24B-v1.2-GGUF/resolve/main/Slimaki-24B-v1.2.Q2_K.gguf) | Q2_K | 9.0 | | | [GGUF](https://huggingface.co/mradermacher/Slimaki-24B-v1.2-GGUF/resolve/main/Slimaki-24B-v1.2.Q3_K_S.gguf) | Q3_K_S | 10.5 | | | [GGUF](https://huggingface.co/mradermacher/Slimaki-24B-v1.2-GGUF/resolve/main/Slimaki-24B-v1.2.Q3_K_M.gguf) | Q3_K_M | 11.6 | lower quality | | [GGUF](https://huggingface.co/mradermacher/Slimaki-24B-v1.2-GGUF/resolve/main/Slimaki-24B-v1.2.Q3_K_L.gguf) | Q3_K_L | 12.5 | | | [GGUF](https://huggingface.co/mradermacher/Slimaki-24B-v1.2-GGUF/resolve/main/Slimaki-24B-v1.2.IQ4_XS.gguf) | IQ4_XS | 13.0 | | | [GGUF](https://huggingface.co/mradermacher/Slimaki-24B-v1.2-GGUF/resolve/main/Slimaki-24B-v1.2.Q4_K_S.gguf) | Q4_K_S | 13.6 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Slimaki-24B-v1.2-GGUF/resolve/main/Slimaki-24B-v1.2.Q4_K_M.gguf) | Q4_K_M | 14.4 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/Slimaki-24B-v1.2-GGUF/resolve/main/Slimaki-24B-v1.2.Q5_K_S.gguf) | Q5_K_S | 16.4 | | | [GGUF](https://huggingface...

Note23 de out.huggingface.co/mradermacher/Slimaki-24B-v1.2-GGUF

Source context: 172 downloads · 0 likes · Library transformers · Repo mradermacher/Slimaki-24B-v1.2-GGUF

Note6 de ago.huggingface.co/mradermacher/Slimaki-24B-v1.2-GGUF

Source context: 134 downloads · 0 likes · Library transformers · Repo mradermacher/Slimaki-24B-v1.2-GGUF