Modelpublic

mradermacher/kimid-v4a-q235-2k-GGUF

sourceHugging Faceupdated 10mo agoView on Hugging Face

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Model Card

About

static quants of https://huggingface.co/ChaiML/kimid-v4a-q235-2k

*For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#kimid-v4a-q235-2k-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)

Link	Type	Size/GB	Notes
GGUF	Q2_K	85.8
GGUF	Q3KS	101.5
GGUF	Q3KM	112.5	lower quality
GGUF	Q3KL	121.9
GGUF	IQ4_XS	126.8
GGUF	Q4KS	133.8	fast, recommended
GGUF	Q4KM	142.3	fast, recommended
GGUF	Q5KS	162.0
GGUF	Q5KM	166.9
GGUF	Q6_K	193.1	very good quality
GGUF	Q8_0	250.0	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.