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mradermacher/LCARS_AI_1x4_002_SuperAI-GGUF

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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About

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: hf --> <!-- ### vocabtype: --> <!-- ### tags: nicoboss --> static quants of https://huggingface.co/LeroyDyer/LCARSAI1x4002_SuperAI

<!-- provided-files --> weighted/imatrix quants are available at https://huggingface.co/mradermacher/LCARSAI1x4002SuperAI-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_K8.9
GGUFQ3KS10.5
GGUFQ3KM11.7lower quality
GGUFQ3KL12.6
GGUFIQ4_XS13.1
GGUFQ4KS13.8fast, recommended
GGUFQ4KM14.7fast, recommended
GGUFQ5KS16.7
GGUFQ5KM17.2
GGUFQ6_K19.9very good quality
GGUFQ8_025.8fast, 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. 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.

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