Modelpublic

mradermacher/granite-20b-functioncalling-GGUF

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face

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Model Card

About

static quants of https://huggingface.co/ibm-granite/granite-20b-functioncalling

weighted/imatrix quants are available at https://huggingface.co/mradermacher/granite-20b-functioncalling-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	Q2_K	8.0
GGUF	IQ3_XS	8.8
GGUF	IQ3_S	9.0	beats Q3_K*
GGUF	Q3KS	9.0
GGUF	IQ3_M	9.7
GGUF	Q3KM	10.7	lower quality
GGUF	IQ4_XS	11.2
GGUF	Q4KS	11.8	fast, recommended
GGUF	Q3KL	11.8
GGUF	Q4KM	12.9	fast, recommended
GGUF	Q5KS	14.1
GGUF	Q5KM	14.9
GGUF	Q6_K	16.7	very good quality
GGUF	Q8_0	21.6	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.