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mradermacher/EEVE-10.8B-Multiturn-GGUF

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
1likes401downloads
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About

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: hf --> <!-- ### vocab_type: --> <!-- ### tags: nicoboss --> static quants of https://huggingface.co/mightbe/EEVE-10.8B-Multiturn

<!-- provided-files --> weighted/imatrix quants are available at https://huggingface.co/mradermacher/EEVE-10.8B-Multiturn-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_K4.1
GGUFQ3KS4.8
GGUFQ3KM5.3lower quality
GGUFQ3KL5.8
GGUFIQ4_XS6.0
GGUFQ404_46.2fast on arm, low quality
GGUFQ4KS6.3fast, recommended
GGUFQ4KM6.6fast, recommended
GGUFQ5KS7.6
GGUFQ5KM7.8
GGUFQ6_K9.0very good quality
GGUFQ8_011.6fast, best quality
GGUFf1621.716 bpw, overkill

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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