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mradermacher/retrobust_plusplus_combined_3b_f16-GGUF

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
0likes254downloads
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About

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: hf --> <!-- ### vocabtype: --> <!-- ### tags: nicoboss --> static quants of https://huggingface.co/jamessucla/retrobustpluspluscombined3b_f16

<!-- 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_K1.6
GGUFQ3KS1.8
GGUFQ3KM2.0lower quality
GGUFQ3KL2.1
GGUFIQ4_XS2.2
GGUFQ404_42.2fast on arm, low quality
GGUFQ4KS2.2fast, recommended
GGUFQ4KM2.3fast, recommended
GGUFQ5KS2.6
GGUFQ5KM2.7
GGUFQ6_K3.1very good quality
GGUFQ8_03.9fast, best quality
GGUFf167.316 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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