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ClonedGizzards/Fallen-Command-A-111B-v1-i1-GGUF

sourceHugging Faceotherupdated 1mo agoView on Hugging Face
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About

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: hf --> <!-- ### vocab_type: --> <!-- ### tags: nicoboss --> weighted/imatrix quants of https://huggingface.co/TheDrummer/Fallen-Command-A-111B-v1

<!-- provided-files --> static quants are available at https://huggingface.co/mradermacher/Fallen-Command-A-111B-v1-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_S24.7for the desperate
GGUFi1-IQ1_M26.9mostly desperate
GGUFi1-IQ2_XXS30.6
GGUFi1-IQ2_XS33.8
GGUFi1-IQ2_S35.6
GGUFi1-IQ2_M38.5
GGUFi1-Q2KS39.1very low quality
GGUFi1-Q2_K42.2IQ3_XXS probably better
GGUFi1-IQ3_XXS43.5lower quality
GGUFi1-IQ3_XS46.6
GGUFi1-Q3KS49.1IQ3_XS probably better
GGUFi1-IQ3_S49.2beats Q3_K*
PART 1 PART 2i1-IQ3_M50.9
PART 1 PART 2i1-Q3KM54.5IQ3_S probably better
PART 1 PART 2i1-Q3KL59.2IQ3_M probably better
PART 1 PART 2i1-IQ4_XS60.1
PART 1 PART 2i1-Q4_063.6fast, low quality
PART 1 PART 2i1-Q4KS63.9optimal size/speed/quality
PART 1 PART 2i1-Q4KM67.2fast, recommended
PART 1 PART 2i1-Q4_170.1
PART 1 PART 2i1-Q5KS76.9
PART 1 PART 2i1-Q5KM78.9
PART 1 PART 2i1-Q6_K91.2practically 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. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

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