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mradermacher/ICONN-e1-i1-GGUF

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
0likes497downloads
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About

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: hf --> <!-- ### vocab_type: --> <!-- ### tags: nicoboss --> weighted/imatrix quants of https://huggingface.co/ICONNAI/ICONN-e1-Beta

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*For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#ICONN-e1-i1-GGUF).*

static quants are available at https://huggingface.co/mradermacher/ICONN-e1-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_S17.5for the desperate
GGUFi1-IQ1_M19.3mostly desperate
GGUFi1-IQ2_XXS22.4
GGUFi1-IQ2_XS24.9
GGUFi1-IQ2_S25.4
GGUFi1-IQ2_M27.8
GGUFi1-Q2KS28.8very low quality
GGUFi1-Q2_K30.9IQ3_XXS probably better
GGUFi1-IQ3_XXS32.5lower quality
GGUFi1-IQ3_XS34.5
GGUFi1-Q3KS36.5IQ3_XS probably better
GGUFi1-IQ3_S36.5beats Q3_K*
GGUFi1-IQ3_M37.0
GGUFi1-Q3KM40.3IQ3_S probably better
GGUFi1-Q3KL43.6IQ3_M probably better
GGUFi1-IQ4_XS44.9
GGUFi1-Q4_047.7fast, low quality
GGUFi1-Q4KS47.9optimal size/speed/quality
PART 1 PART 2i1-Q4KM51.0fast, recommended
PART 1 PART 2i1-Q4_152.7
PART 1 PART 2i1-Q5KS57.9
PART 1 PART 2i1-Q5KM59.7
PART 1 PART 2i1-Q6_K69.0practically 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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