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mradermacher/miquella-120b-GGUF

sourceHugging Faceupdated 2y agoView on Hugging Face
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About

static quants of https://huggingface.co/alpindale/miquella-120b commit 25de83c

<!-- provided-files --> weighted/imatrix quants are available at https://huggingface.co/mradermacher/miquella-120b-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_K43.3
GGUFQ3KXS48.0
GGUFIQ3_XS48.2
PART 1 PART 2Q3KS50.8
PART 1 PART 2IQ3_S51.0beats Q3_K*
PART 1 PART 2IQ3_M52.7
PART 1 PART 2Q3KM56.7lower quality
PART 1 PART 2Q3KL61.8
PART 1 PART 2IQ4_XS63.5
PART 1 PART 2Q4KS66.9fast, recommended
PART 1 PART 2Q4KM70.7fast, recommended
PART 1 PART 2Q5KS81.1
PART 1 PART 2Q5KM83.3
PART 1 PART 2Q6_K96.7very good quality
PART 1 PART 2 PART 3Q8_0125.2fast, 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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