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mradermacher/RYS-XLarge-base-GGUF

sourceHugging Facemitupdated 1y agoView on Hugging Face
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About

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> static quants of https://huggingface.co/dnhkng/RYS-XLarge-base

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/RYS-XLarge-base-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_K31.9
GGUFQ3KS36.9
GGUFQ3KM40.4lower quality
GGUFQ3KL42.5
GGUFIQ4_XS43.1
GGUFQ4KS47.1fast, recommended
PART 1 PART 2Q4KM50.8fast, recommended
PART 1 PART 2Q5KS55.2
PART 1 PART 2Q5KM58.4
PART 1 PART 2Q6_K69.1very good quality
PART 1 PART 2Q8_083.0fast, 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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