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About

static quants of https://huggingface.co/jondurbin/airoboros-180b-2.2.1

weighted/imatrix quants are available at https://huggingface.co/mradermacher/airoboros-180b-2.2.1-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 67.8
PART 1 PART 2 IQ3_XS 76.3
PART 1 PART 2 IQ3_S 78.8 beats Q3_K*
PART 1 PART 2 Q3_K_S 78.8
PART 1 PART 2 IQ3_M 82.4
PART 1 PART 2 Q3_K_M 86.5 lower quality
PART 1 PART 2 Q3_K_L 93.0
PART 1 PART 2 PART 3 IQ4_XS 98.3
PART 1 PART 2 PART 3 Q4_K_S 102.5 fast, recommended
PART 1 PART 2 PART 3 Q4_K_M 109.8 fast, recommended
PART 1 PART 2 PART 3 Q5_K_S 124.8
PART 1 PART 2 PART 3 Q5_K_M 132.0
PART 1 PART 2 PART 3 PART 4 Q6_K 148.5 very good quality
PART 1 PART 2 PART 3 PART 4 Q8_0 191.8 fast, best quality
P1 P2 P3 P4 P5 P6 P7 P8 SOURCE 359.2 source gguf, only provided when it was hard to come by

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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