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Grok Oss Apollyon 24B GGUF

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

TipoOtherModelo basec4tdr0ut/grok-oss-Apollyon-24BVersiónRevision a473277Dcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
8,28–23,3 GB
Modelo base
c4tdr0ut/grok-oss-Apollyon-24B
Versión
vRevision a473277
Actualizado
20 oct 2026
Descargas
422
Fuente
Hugging Face

Descripción de la fuente

About

static quants of https://huggingface.co/c4tdr0ut/grok-oss-Apollyon-24B

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/grok-oss-Apollyon-24B-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.

Fuentes

1 fuente
Hugging FacePrincipalVersión a473277f28c7defa1f63577c75fb332de2b06858
huggingface.co/mradermacher/grok-oss-Apollyon-24B-GGUF/tree/a473277f28c7defa1f63577c75fb332de2b06858

Verificado 20 oct

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Artefactos del modelo

11 artefactos

grok-oss-Apollyon-24B.IQ4_XS.gguf

gguf · 12,0 GB · SHA-256 f54315db4671…34e5 · Hugging Face

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grok-oss-Apollyon-24B.Q2_K.gguf

gguf · 8,28 GB · SHA-256 8cca71d68fda…b3dd · Hugging Face

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grok-oss-Apollyon-24B.Q3_K_L.gguf

gguf · 11,5 GB · SHA-256 9dec0df2b6db…261a · Hugging Face

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grok-oss-Apollyon-24B.Q3_K_M.gguf

gguf · 10,7 GB · SHA-256 936e6e3d943f…37ea · Hugging Face

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grok-oss-Apollyon-24B.Q3_K_S.gguf

gguf · 9,69 GB · SHA-256 8f027c0195c2…9ed4 · Hugging Face

Download file

grok-oss-Apollyon-24B.Q4_K_M.gguf

gguf · 13,3 GB · SHA-256 17afd95a0f2f…80a8 · Hugging Face

Download file

grok-oss-Apollyon-24B.Q4_K_S.gguf

gguf · 12,6 GB · SHA-256 22ddd8d9a9de…81c1 · Hugging Face

Download file

grok-oss-Apollyon-24B.Q5_K_M.gguf

gguf · 15,6 GB · SHA-256 773bf9ae6d53…1e7d · Hugging Face

Download file

grok-oss-Apollyon-24B.Q5_K_S.gguf

gguf · 15,2 GB · SHA-256 06df1bc16cbf…d829 · Hugging Face

Download file

grok-oss-Apollyon-24B.Q6_K.gguf

gguf · 18,0 GB · SHA-256 f12a75639ad0…39dd · Hugging Face

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grok-oss-Apollyon-24B.Q8_0.gguf

gguf · 23,3 GB · SHA-256 456f545308cc…fba1 · Hugging Face

Download file

Extractos de fuentes

3 extractos

--- base_model: c4tdr0ut/grok-oss-Apollyon-24B language: - en library_name: transformers license: other mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - text-generation-inference - transformers - unsloth - mistral - grok - unhinged - unaligned - abliterated - x.ai - dpo - sft - llm - chat - conversational - research --- ## 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/c4tdr0ut/grok-oss-Apollyon-24B <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#grok-oss-Apollyon-24B-GGUF).*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/grok-oss-Apollyon-24B-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/grok-oss-Apollyon-24B-GGUF/resolve/main/grok-oss-Apollyon-24B.Q2_K.gguf) | Q2_K | 9.0 | | | [GGUF](https://huggingface.co/mradermacher/grok-oss-Apollyon-24B-GGUF/resolve/main/grok-oss-Apollyon-24B.Q3_K_S.gguf) | Q3_K_S | 10.5 | | | [GGUF](https://huggingface.co/mradermacher/grok-oss-Apollyon-24B-GGUF/resolve/main/grok-oss-Apollyon-24B.Q3_K_M.gguf) | Q3_K_M | 11.6 | lower quality | | [GGUF](https://huggingface.co/mradermacher/grok-oss-Apollyon-24B-GGUF/resolve/main/grok-oss-Apollyon-24B.Q3_K_L.gguf) | Q3_K_L | 12.5 | | | [GGUF](https://huggingface.co/mradermacher/grok-oss-Apollyon-24B-GGUF/resolve/main/grok-oss-Apollyon-24B.IQ4_XS.gguf) | IQ4_XS | 13.0 | | | [GGUF](https://huggingface.co/mradermacher/grok-oss-Apollyon-24B-GGUF/resolve/main/grok-oss-Apollyon-24B.Q4_K_S.gguf) | Q4_K_S | 13.6 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/grok-oss-Apollyon-24B-GGUF/resolve/main/grok-oss-Apollyon-24B.Q4_K_M.gguf) | Q4...

Source context: 422 downloads · 0 likes · Library transformers · Repo mradermacher/grok-oss-Apollyon-24B-GGUF

Source context: 4361 downloads · 0 likes · Library transformers · Repo mradermacher/grok-oss-Apollyon-24B-GGUF