mradermacher/clown-SUV-4x70b-i1-GGUF

About

weighted/imatrix quants of https://huggingface.co/NobodyExistsOnTheInternet/clown-SUV-4x70b

more quants are unlikely to happen because llama.cpp is a crashfest atm. and simply crashes for them

static quants are available at https://huggingface.co/mradermacher/clown-SUV-4x70b-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	i1-IQ2_M	78.6
PART 1 PART 2	i1-Q2_K	87.1	IQ3_XXS probably better
PART 1 PART 2	i1-IQ3_XXS	91.8	lower quality
PART 1 PART 2 PART 3	i1-IQ3_XS	97.1
PART 1 PART 2 PART 3	i1-IQ3_S	103.0	beats Q3_K*
PART 1 PART 2 PART 3	i1-Q3_K_S	103.0	IQ3_XS probably better
PART 1 PART 2 PART 3	i1-IQ3_M	105.0
PART 1 PART 2 PART 3	i1-Q3_K_M	114.3	IQ3_S probably better
PART 1 PART 2 PART 3	i1-Q3_K_L	123.8	IQ3_M probably better
PART 1 PART 2 PART 3	i1-IQ4_XS	127.1
PART 1 PART 2 PART 3	i1-Q4_0	135.0	fast, low quality
PART 1 PART 2 PART 3	i1-Q4_K_S	135.7	optimal size/speed/quality
PART 1 PART 2 PART 3	i1-Q4_K_M	144.2	fast, recommended
PART 1 PART 2 PART 3 PART 4	i1-Q5_K_S	164.1
PART 1 PART 2 PART 3 PART 4	i1-Q5_K_M	169.2
P1 P2 P3 P4 P5	i1-Q6_K	195.7	practically like static Q6_K

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.