mradermacher/Cognito-2x7B-bf16-GGUF

About

static quants of https://huggingface.co/Kquant03/Cognito-2x7B-bf16

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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	5.0
GGUF	IQ3_XS	5.6
GGUF	Q3_K_S	5.8
GGUF	IQ3_S	5.9	beats Q3_K*
GGUF	IQ3_M	6.0
GGUF	Q3_K_M	6.5	lower quality
GGUF	Q3_K_L	7.0
GGUF	IQ4_XS	7.2
GGUF	Q4_0	7.5	fast, low quality
GGUF	Q4_K_S	7.6	fast, recommended
GGUF	IQ4_NL	7.6	slightly worse than Q4_K_S
GGUF	Q4_K_M	8.0	fast, recommended
GGUF	Q5_K_S	9.1
GGUF	Q5_K_M	9.4
GGUF	Q6_K	10.8	very good quality
GGUF	Q8_0	13.9	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.