Modelpublic

mradermacher/Kimi-K2.5-BF16-Pruned-20B-GGUF

sourceHugging Faceupdated 6mo agoView on Hugging Face

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Model Card

About

static quants of https://huggingface.co/ubicloud/Kimi-K2.5-BF16-Pruned-20B

*For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Kimi-K2.5-BF16-Pruned-20B-GGUF).*

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Kimi-K2.5-BF16-Pruned-20B-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)

Link	Type	Size/GB	Notes
GGUF	mmproj-Q8_0	0.7	multi-modal supplement
GGUF	mmproj-f16	1.1	multi-modal supplement
GGUF	Q2_K	7.8
GGUF	Q3KS	9.1
GGUF	Q3KM	9.9	lower quality
GGUF	Q3KL	10.7
GGUF	IQ4_XS	11.0
GGUF	Q4KS	11.6	fast, recommended
GGUF	Q4KM	13.1	fast, recommended
GGUF	Q5KS	14.0
GGUF	Q5KM	14.7
GGUF	Q6_K	16.4	very good quality
GGUF	Q8_0	21.3	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.