CoolFace
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mradermacher/DeepSeek-1.5b-docker-command-finetune-GGUF

sourceHugging Faceupdated 2y agoView on Hugging Face
0likes161downloads
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About

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> static quants of https://huggingface.co/Nexes1/DeepSeek-1.5b-docker-command-finetune

<!-- provided-files --> 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_K0.9
GGUFQ3KS1.0
GGUFQ3KM1.0lower quality
GGUFQ3KL1.1
GGUFIQ4_XS1.1
GGUFQ4KS1.2fast, recommended
GGUFQ4KM1.2fast, recommended
GGUFQ5KS1.4
GGUFQ5KM1.4
GGUFQ6_K1.6very good quality
GGUFQ8_02.0fast, best quality
GGUFf163.716 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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