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mradermacher/EXAONE-3.5-32B-LIMO-Ko-e4-GGUF

sourceHugging Faceotherupdated 2y agoView on Hugging Face
0likes585downloads
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About

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> static quants of https://huggingface.co/werty1248/EXAONE-3.5-32B-LIMO-Ko-e4

<!-- provided-files --> weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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_K12.0
GGUFQ3KS14.1
GGUFQ3KM15.6lower quality
GGUFQ3KL16.9
GGUFIQ4_XS17.5
GGUFQ4KS18.4fast, recommended
GGUFQ4KM19.4fast, recommended
GGUFQ5KS22.2
GGUFQ5KM22.8
GGUFQ6_K26.4very good quality
GGUFQ8_034.1fast, 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.

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