About

static quants of https://huggingface.co./DavidAU/MN-WORDSTORM-pt4-RCM-Cliffhanger-18.5B-Instruct

weighted/imatrix quants are available at https://huggingface.co./mradermacher/MN-WORDSTORM-pt4-RCM-Cliffhanger-18.5B-Instruct-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 7.2
GGUF Q3_K_S 8.3
GGUF Q3_K_M 9.2 lower quality
GGUF Q3_K_L 9.9
GGUF IQ4_XS 10.3
GGUF Q4_K_S 10.8 fast, recommended
GGUF Q4_K_M 11.3 fast, recommended
GGUF Q5_K_S 12.9
GGUF Q5_K_M 13.3
GGUF Q6_K 15.3 very good quality
GGUF Q8_0 19.8 fast, 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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GGUF
Model size
18.5B params
Architecture
llama

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Model tree for mradermacher/MN-WORDSTORM-pt4-RCM-Cliffhanger-18.5B-Instruct-GGUF