base_model: VAGOsolutions/SauerkrautLM-Mixtral-8x7B
datasets:
- Open-Orca/SlimOrca
- argilla/distilabel-math-preference-dpo
language:
- en
- de
- fr
- it
- es
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
- mistral
- finetune
- sft
- dpo
- chatml
- augmentation
- german
- mixtral
- moe
About
weighted/imatrix quants of https://huggingface.co/VAGOsolutions/SauerkrautLM-Mixtral-8x7B
static quants are available at https://huggingface.co/mradermacher/SauerkrautLM-Mixtral-8x7B-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)
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. 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.