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metadata
base_model: NobodyExistsOnTheInternet/clown-SUV-4x70b
language:
  - en
library_name: transformers
license: mit
no_imatrix: >-
  [   5/1523]                blk.0.ffn_up.2.weight - [ 8192, 28672,     1,    
  1], type =    f16, converting to iq2_xxs .. Oops: found point 10325 not on
  grid: 1 1 1 1 0 2 2 0
quantized_by: mradermacher

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):

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.