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mradermacher/codegemma-7b-GGUF

sourceHugging Facegemmaupdated 2y agoView on Hugging Face
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About

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> static quants of https://huggingface.co/google/codegemma-7b

<!-- provided-files --> weighted/imatrix quants are available at https://huggingface.co/mradermacher/codegemma-7b-i1-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
GGUFQ404_45.1fast on arm, low quality
PART 1 PART 2Q2_K7.1
PART 1 PART 2Q3KS8.1
PART 1 PART 2Q3KM8.8lower quality
PART 1 PART 2Q3KL9.5
PART 1 PART 2IQ4_XS9.7
PART 1 PART 2Q4KS10.2fast, recommended
PART 1 PART 2Q4KM10.8fast, recommended
PART 1 PART 2Q5KS12.1
PART 1 PART 2Q5KM12.4
PART 1 PART 2Q6_K14.1very good quality
PART 1 PART 2Q8_018.3fast, best quality
PART 1 PART 2f1634.316 bpw, overkill

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.

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