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mradermacher/WizardCoder-Python-13B-V1.0-GGUF

sourceHugging Facellama2updated 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/WizardLMTeam/WizardCoder-Python-13B-V1.0

<!-- provided-files --> weighted/imatrix quants are available at https://huggingface.co/mradermacher/WizardCoder-Python-13B-V1.0-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
GGUFQ2_K5.0
GGUFIQ3_XS5.5
GGUFIQ3_S5.8beats Q3_K*
GGUFQ3KS5.8
GGUFIQ3_M6.1
GGUFQ3KM6.4lower quality
GGUFQ3KL7.0
GGUFIQ4_XS7.1
GGUFQ4KS7.5fast, recommended
GGUFQ4KM8.0fast, recommended
GGUFQ5KS9.1
GGUFQ5KM9.3
GGUFQ6_K10.8very good quality
GGUFQ8_013.9fast, best quality

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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