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mradermacher/MwM-22B-Instruct-GGUF

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

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> static quants of https://huggingface.co/qingy2024/MwM-22B-Instruct

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*For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#MwM-22B-Instruct-GGUF).*

weighted/imatrix quants are available at https://huggingface.co/mradermacher/MwM-22B-Instruct-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_K8.4
GGUFQ3KS9.7
GGUFQ3KM10.9lower quality
GGUFQ3KL11.8
GGUFIQ4_XS12.1
GGUFQ4KS12.8fast, recommended
GGUFQ4KM13.4fast, recommended
GGUFQ5KS15.4
GGUFQ5KM15.8
GGUFQ6_K18.4very good quality
GGUFQ8_023.7fast, 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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