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metadata
base_model: leafspark/Mistral-Large-218B-Instruct
language:
  - en
  - fr
  - de
  - es
  - it
  - pt
  - zh
  - ja
  - ru
  - ko
library_name: transformers
license: other
license_link: https://mistral.ai/licenses/MRL-0.1.md
license_name: mrl
quantized_by: mradermacher

About

static quants of https://huggingface.co/leafspark/Mistral-Large-218B-Instruct

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Mistral-Large-218B-Instruct-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 80.4
PART 1 PART 2 Q3_K_S 94.0
PART 1 PART 2 IQ3_S 94.3 beats Q3_K*
PART 1 PART 2 PART 3 Q3_K_M 105.2 lower quality
PART 1 PART 2 PART 3 Q3_K_L 114.9
PART 1 PART 2 PART 3 IQ4_XS 117.5
PART 1 PART 2 PART 3 Q4_K_S 123.8 fast, recommended
PART 1 PART 2 PART 3 Q4_K_M 130.2 fast, recommended
PART 1 PART 2 PART 3 PART 4 Q5_K_S 150.1
PART 1 PART 2 PART 3 PART 4 Q5_K_M 153.9
PART 1 PART 2 PART 3 PART 4 Q6_K 179.0 very good quality
P1 P2 P3 P4 P5 Q8_0 231.9 fast, best quality

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. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.