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mradermacher/codegemma-7b-i1-GGUF

sourceHugging Facegemmaupdated 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/google/codegemma-7b

<!-- provided-files --> static quants are available at https://huggingface.co/mradermacher/codegemma-7b-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-Q2KS3.3very low quality
PART 1 PART 2i1-IQ1_S4.4for the desperate
PART 1 PART 2i1-IQ1_M4.7mostly desperate
GGUFi1-Q404_45.1fast on arm, low quality
GGUFi1-Q404_85.1fast on arm+i8mm, low quality
GGUFi1-Q408_85.1fast on arm+sve, low quality
PART 1 PART 2i1-IQ2_XXS5.3
PART 1 PART 2i1-IQ2_XS5.7
PART 1 PART 2i1-IQ2_S5.9
PART 1 PART 2i1-IQ2_M6.4
PART 1 PART 2i1-Q2_K7.1IQ3_XXS probably better
PART 1 PART 2i1-IQ3_XXS7.1lower quality
PART 1 PART 2i1-IQ3_XS7.7
PART 1 PART 2i1-IQ3_S8.1beats Q3_K*
PART 1 PART 2i1-Q3KS8.1IQ3_XS probably better
PART 1 PART 2i1-IQ3_M8.3
PART 1 PART 2i1-Q3KM8.8IQ3_S probably better
PART 1 PART 2i1-Q3KL9.5IQ3_M probably better
PART 1 PART 2i1-IQ4_XS9.6
PART 1 PART 2i1-Q4_010.2fast, low quality
PART 1 PART 2i1-Q4KS10.2optimal size/speed/quality
PART 1 PART 2i1-Q4KM10.8fast, recommended
PART 1 PART 2i1-Q5KS12.1
PART 1 PART 2i1-Q5KM12.4
PART 1 PART 2i1-Q6_K14.1practically 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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