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About

static quants of https://huggingface.co/schnapper79/lumikabra-195B_v0.3

weighted/imatrix quants are available at https://huggingface.co/mradermacher/lumikabra-195B_v0.3-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
PART 1 PART 2 Q2_K 71.7
PART 1 PART 2 Q3_K_S 83.9
PART 1 PART 2 Q3_K_M 93.8 lower quality
PART 1 PART 2 PART 3 Q3_K_L 102.5
PART 1 PART 2 PART 3 IQ4_XS 104.8
PART 1 PART 2 PART 3 Q4_K_S 110.4 fast, recommended
PART 1 PART 2 PART 3 Q4_K_M 116.3 fast, recommended
PART 1 PART 2 PART 3 Q5_K_S 133.9
PART 1 PART 2 PART 3 Q5_K_M 137.3
PART 1 PART 2 PART 3 PART 4 Q6_K 159.7 very good quality
P1 P2 P3 P4 P5 Q8_0 206.9 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. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

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