mradermacher/BigLlama-3.1-681B-Instruct-GGUF

About

static quants of https://huggingface.co/mlabonne/BigLlama-3.1-681B-Instruct

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
P1 P2 P3 P4 P5 P6	Q2_K	250.5
P1 P2 P3 P4 P5 P6	IQ3_XS	278.5
P1 P2 P3 P4 P5 P6	IQ3_S	294.4	beats Q3_K*
P1 P2 P3 P4 P5 P6 P7	IQ3_M	304.9
P1 P2 P3 P4 P5 P6 P7 P8	Q4_K_S	386.4	fast, recommended
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15	Q8_0	723.3	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.