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mradermacher/3-double-120-v3-i1-GGUF

sourceHugging Faceupdated 2y 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/CuriousCat29/3-double-120-v3

<!-- provided-files --> static quants are available at https://huggingface.co/mradermacher/3-double-120-v3-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_S26.1for the desperate
GGUFi1-IQ1_M28.6mostly desperate
GGUFi1-IQ2_XXS32.7
GGUFi1-IQ2_XS36.3
GGUFi1-IQ2_S38.1
GGUFi1-IQ2_M41.4
GGUFi1-Q2KS41.8very low quality
GGUFi1-Q2_K45.2IQ3_XXS probably better
GGUFi1-IQ3_XXS47.1lower quality
PART 1 PART 2i1-IQ3_XS50.3
PART 1 PART 2i1-Q3KS52.9IQ3_XS probably better
PART 1 PART 2i1-IQ3_S53.1beats Q3_K*
PART 1 PART 2i1-IQ3_M54.8
PART 1 PART 2i1-Q3KM58.9IQ3_S probably better
PART 1 PART 2i1-Q3KL64.1IQ3_M probably better
PART 1 PART 2i1-IQ4_XS65.4
PART 1 PART 2i1-Q4_069.2fast, low quality
PART 1 PART 2i1-Q4KS69.5optimal size/speed/quality
PART 1 PART 2i1-Q4KM73.3fast, recommended
PART 1 PART 2i1-Q4_176.5
PART 1 PART 2i1-Q5KS84.1
PART 1 PART 2i1-Q5KM86.3
PART 1 PART 2 PART 3i1-Q6_K100.1practically 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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