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mradermacher/miquella-120b-i1-GGUF

sourceHugging Faceupdated 2y agoView on Hugging Face
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About

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: --> <!-- ### vocab_type: --> weighted/imatrix quants of https://huggingface.co/alpindale/miquella-120b

<!-- provided-files --> static quants are available at https://huggingface.co/mradermacher/miquella-120b-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
GGUFi1-IQ1_S24.8for the desperate
GGUFi1-IQ1_M27.2mostly desperate
GGUFi1-IQ2_XXS31.2
GGUFi1-IQ2_XS34.7
GGUFi1-IQ2_S36.5
GGUFi1-IQ2_M39.7
GGUFi1-Q2_K43.3IQ3_XXS probably better
GGUFi1-IQ3_XXS45.3lower quality
GGUFi1-IQ3_XS48.2
PART 1 PART 2i1-Q3KS50.8IQ3_XS probably better
PART 1 PART 2i1-IQ3_S51.0beats Q3_K*
PART 1 PART 2i1-IQ3_M52.7
PART 1 PART 2i1-Q3KM56.7IQ3_S probably better
PART 1 PART 2i1-Q3KL61.8IQ3_M probably better
PART 1 PART 2i1-IQ4_XS62.9
PART 1 PART 2i1-Q4_066.7fast, low quality
PART 1 PART 2i1-Q4KS66.9optimal size/speed/quality
PART 1 PART 2i1-Q4KM70.7fast, recommended
PART 1 PART 2i1-Q5KS81.1
PART 1 PART 2i1-Q5KM83.3
PART 1 PART 2i1-Q6_K96.7practically like static Q6_K

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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