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5.0bpw EXL2 quant of https://huggingface.co/gghfez/WizardLM-2-8x22B-Beige
This is the biggest quant we can fit into 96GB of VRAM (eg. 4x3090 cards) with a Q4 cache
base_model:
- openbmb/Eurux-8x22b-nca
- alpindale/WizardLM-2-8x22B
- fireworks-ai/mixtral-8x22b-instruct-oh
- migtissera/Tess-2.0-Mixtral-8x22B library_name: transformers tags:
- mergekit
- merge
WizardLM-2-8x22B-BigMerge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Model Stock merge method using alpindale/WizardLM-2-8x22B as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: alpindale/WizardLM-2-8x22B
- model: openbmb/Eurux-8x22b-nca
- model: migtissera/Tess-2.0-Mixtral-8x22B
- model: fireworks-ai/mixtral-8x22b-instruct-oh
base_model: alpindale/WizardLM-2-8x22B
merge_method: model_stock
dtype: bfloat16
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