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mradermacher/WizardLM-2-8x22B-Beige-GGUF

sourceHugging Faceupdated 2y agoView on Hugging Face
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About

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> static quants of https://huggingface.co/gghfez/WizardLM-2-8x22B-Beige

<!-- provided-files --> weighted/imatrix quants are available at https://huggingface.co/mradermacher/WizardLM-2-8x22B-Beige-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
PART 1 PART 2Q2_K52.2
PART 1 PART 2IQ3_XS58.3
PART 1 PART 2IQ3_S61.6beats Q3_K*
PART 1 PART 2Q3KS61.6
PART 1 PART 2IQ3_M64.6
PART 1 PART 2Q3KM67.9lower quality
PART 1 PART 2Q3KL72.7
PART 1 PART 2IQ4_XS76.5
PART 1 PART 2Q4KS80.6fast, recommended
PART 1 PART 2Q4KM85.7fast, recommended
PART 1 PART 2Q5KS97.1
PART 1 PART 2 PART 3Q5KM100.1
PART 1 PART 2 PART 3Q6_K115.6very good quality
PART 1 PART 2 PART 3 PART 4Q8_0149.5fast, 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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