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mradermacher/TypeII-A-12B-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/Frowning/TypeII-A-12B

<!-- provided-files --> static quants are available at https://huggingface.co/mradermacher/TypeII-A-12B-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_S3.1for the desperate
GGUFi1-IQ1_M3.3mostly desperate
GGUFi1-IQ2_XXS3.7
GGUFi1-IQ2_XS4.0
GGUFi1-IQ2_S4.2
GGUFi1-IQ2_M4.5
GGUFi1-Q2_K4.9IQ3_XXS probably better
GGUFi1-IQ3_XXS5.0lower quality
GGUFi1-IQ3_XS5.4
GGUFi1-Q3KS5.6IQ3_XS probably better
GGUFi1-IQ3_S5.7beats Q3_K*
GGUFi1-IQ3_M5.8
GGUFi1-Q3KM6.2IQ3_S probably better
GGUFi1-Q3KL6.7IQ3_M probably better
GGUFi1-IQ4_XS6.8
GGUFi1-Q4_07.2fast, low quality
GGUFi1-Q4KS7.2optimal size/speed/quality
GGUFi1-Q4KM7.6fast, recommended
GGUFi1-Q5KS8.6
GGUFi1-Q5KM8.8
GGUFi1-Q6_K10.2practically 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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