Modelpublic

mradermacher/JuliusCesar-72B-BeyonderV.0-GGUF

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face

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Model Card

About

static quants of https://huggingface.co/zelus82/JuliusCesar-72B-BeyonderV.0

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)

Link	Type	Size/GB	Notes
GGUF	Q2_K	15.8
GGUF	IQ3_XS	17.3
GGUF	IQ3_S	18.1	beats Q3_K*
GGUF	Q3KS	18.1
GGUF	IQ3_M	19.0
GGUF	Q3KM	20.0	lower quality
GGUF	Q3KL	21.6
GGUF	IQ4_XS	22.0
GGUF	Q4_0	22.9	fast, low quality
GGUF	IQ4_NL	23.1	prefer IQ4_XS
GGUF	Q4KS	23.1	fast, recommended
GGUF	Q4KM	24.3	fast, recommended
GGUF	Q5KS	27.4
GGUF	Q5KM	28.2
GGUF	Q6_K	32.2	very good quality
GGUF	Q8_0	41.0	fast, best quality

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

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.