CoolFace
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mradermacher/mpt-30b-GGUF

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
0likes2.8kdownloads
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About

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> static quants of https://huggingface.co/mosaicml/mpt-30b

<!-- provided-files --> weighted/imatrix quants are available at https://huggingface.co/mradermacher/mpt-30b-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_K11.4
GGUFIQ3_XS12.8
GGUFIQ3_S13.1beats Q3_K*
GGUFQ3KS13.1
GGUFIQ3_M14.6
GGUFQ3KM15.8lower quality
GGUFIQ4_XS16.3
GGUFQ4KS17.2fast, recommended
GGUFQ3KL17.3
GGUFQ4KM19.2fast, recommended
GGUFQ5KS20.7
GGUFQ5KM22.4
GGUFQ6_K24.7very good quality
GGUFQ8_031.9fast, 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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