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Keural MoE Pro v1.0 I1 GGUF

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

KindOtherBase modelmkd-ai/Keural-Nova-1.0VersionRevision bbc563c

Model source

Kind
Other
File size
183 MB–27.2 GB
Base model
mkd-ai/Keural-Nova-1.0
Version
vRevision bbc563c
Updated
Sep 22, 2026
Downloads
373
Source
Hugging Face

Source description

About

weighted/imatrix quants of https://huggingface.co/mkd-hossain/Keural-MoE-Pro-v1.0

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

static quants are available at https://huggingface.co/mradermacher/Keural-MoE-Pro-v1.0-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
GGUFimatrix0.3imatrix file (for creating your own quants)
GGUFi1-Q2_K13.3IQ3_XXS probably better
GGUFi1-Q3_K_S15.6IQ3_XS probably better
GGUFi1-IQ3_S15.7beats Q3_K*
GGUFi1-IQ3_M15.9
GGUFi1-Q3_K_M17.3IQ3_S probably better
GGUFi1-Q3_K_L18.7IQ3_M probably better
GGUFi1-IQ4_XS19.3
GGUFi1-Q4_020.4fast, low quality
GGUFi1-Q4_K_S20.5optimal size/speed/quality
GGUFi1-Q4_K_M21.8fast, recommended
GGUFi1-Q4_122.5
GGUFi1-Q5_K_S24.7
GGUFi1-Q5_K_M25.4
GGUFi1-Q6_K29.3practically 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 bbc563cb00fe8014fc6d04f110cbbfa3b9e9a124
huggingface.co/mradermacher/Keural-MoE-Pro-v1.0-i1-GGUF/tree/bbc563cb00fe8014fc6d04f110cbbfa3b9e9a124

Verified Sep 22

Model artifacts

15 artifacts

Keural-MoE-Pro-v1.0.i1-IQ3_M.gguf

gguf · 14.7 GB · SHA-256 3cf9647b1125…06dd · Hugging Face

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Keural-MoE-Pro-v1.0.i1-IQ3_S.gguf

gguf · 14.5 GB · SHA-256 8dfd510903ef…d53b · Hugging Face

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Keural-MoE-Pro-v1.0.i1-IQ4_XS.gguf

gguf · 17.9 GB · SHA-256 0999ce803393…f6de · Hugging Face

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Keural-MoE-Pro-v1.0.i1-Q2_K.gguf

gguf · 12.3 GB · SHA-256 e95c62827779…8142 · Hugging Face

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Keural-MoE-Pro-v1.0.i1-Q3_K_L.gguf

gguf · 17.3 GB · SHA-256 927cfe1e3b09…352d · Hugging Face

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Keural-MoE-Pro-v1.0.i1-Q3_K_M.gguf

gguf · 16.0 GB · SHA-256 18d3d9d5aafd…b29f · Hugging Face

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Keural-MoE-Pro-v1.0.i1-Q3_K_S.gguf

gguf · 14.5 GB · SHA-256 da23869fcefb…59a2 · Hugging Face

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Keural-MoE-Pro-v1.0.i1-Q4_0.gguf

gguf · 18.9 GB · SHA-256 5e2f9a64e10b…cfa2 · Hugging Face

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Keural-MoE-Pro-v1.0.i1-Q4_1.gguf

gguf · 20.8 GB · SHA-256 e59ab3700b95…a00f · Hugging Face

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Keural-MoE-Pro-v1.0.i1-Q4_K_M.gguf

gguf · 20.2 GB · SHA-256 c3928d313f3c…a03a · Hugging Face

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Keural-MoE-Pro-v1.0.i1-Q4_K_S.gguf

gguf · 19.0 GB · SHA-256 34f20e43aca4…9d7a · Hugging Face

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Keural-MoE-Pro-v1.0.i1-Q5_K_M.gguf

gguf · 23.6 GB · SHA-256 777383100e03…8aeb · Hugging Face

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Keural-MoE-Pro-v1.0.i1-Q5_K_S.gguf

gguf · 22.9 GB · SHA-256 876ac6fc0a78…4f28 · Hugging Face

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Keural-MoE-Pro-v1.0.i1-Q6_K.gguf

gguf · 27.2 GB · SHA-256 abe6c7a11167…6d74 · Hugging Face

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Keural-MoE-Pro-v1.0.imatrix.gguf

gguf · 183 MB · SHA-256 84313fafb989…37de · Hugging Face

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Source excerpts

2 excerpts

--- base_model: mkd-hossain/Keural-MoE-Pro-v1.0 language: - ko - en library_name: transformers license: apache-2.0 mradermacher: readme_rev: 1 quantized_by: mradermacher tags: - korean - moe - lora - instruction-tuning - keural --- ## 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/mkd-hossain/Keural-MoE-Pro-v1.0 <!-- provided-files --> ***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Keural-MoE-Pro-v1.0-i1-GGUF).*** static quants are available at https://huggingface.co/mradermacher/Keural-MoE-Pro-v1.0-GGUF **This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/Keural-MoE-Pro-v1.0-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/Keural-MoE-Pro-v1.0-i1-GGUF/resolve/main/Keural-MoE-Pro-v1.0.imatrix.gguf) | imatrix | 0.3 | imatrix file (for creating your own quants) | | [GGUF](https://huggingface.co/mradermacher/Keural-MoE-Pro-v1.0-i1-GGUF/resolve/main/Keural-MoE-Pro-v1.0.i1-Q2_K.gguf) | i1-Q2_K | 13.3 | IQ3_XXS probably better | | [GGUF](https://huggingface.co/mradermacher/Keural-MoE-Pro-v1.0-i1-GGUF/resolve/main/Keural-MoE-Pro-v1.0.i1-Q3_K_S.gguf) | i1-Q3_K_S | 15.6 | IQ3_XS probably better | | [GGUF](https://huggingface.co/mradermacher/Keural-MoE-Pro-v1.0-i1-GGUF/resolve/main/Keural-MoE-Pro-v1.0.i1-IQ3_S.gguf) | i1-IQ3_S | 15.7 | beats Q3_K* | | [GGUF](https://huggingface.co/mradermacher/Keural-MoE-Pro-v1.0-i1-GGUF/resolve/main/Keural-MoE-Pro-v1.0.i1-IQ3_M.gguf) | i1-IQ3_M | 15.9 | | | [GGUF](https://huggingface.co/mraderm...

Source context: 373 downloads · 0 likes · Library transformers · Repo mradermacher/Keural-MoE-Pro-v1.0-i1-GGUF