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mradermacher/dockergen-1.5b-GGUF

sourceHugging Faceupdated 4mo agoView on Hugging Face
1likes149downloads
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About

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: hf --> <!-- ### vocabtype: --> <!-- ### tags: --> <!-- ### quants: x-f16 Q4KS Q2K Q80 Q6K Q3KM Q3KS Q3KL Q4KM Q5KS Q5KM IQ4XS --> <!-- ### quantsskip: --> <!-- ### skip_mmproj: --> static quants of https://huggingface.co/remyxai/dockergen-1.5b

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*For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#dockergen-1.5b-GGUF).*

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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_K0.8
GGUFQ3KS0.9
GGUFQ3KM0.9lower quality
GGUFQ3KL1.0
GGUFIQ4_XS1.0
GGUFQ4KS1.0fast, recommended
GGUFQ4KM1.1fast, recommended
GGUFQ5KS1.2
GGUFQ5KM1.2
GGUFQ6_K1.4very good quality
GGUFQ8_01.7fast, best quality
GGUFf163.216 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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