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3.75bpw EXL2 quant of https://huggingface.co/gghfez/WizardLM-2-8x22B-Beige

This is the biggest quant we can fit into 72GB of VRAM (eg. 3x3090 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