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WizardLM-2-8x22B-Beige-exl2_5.0bpw – AI Model by gghfez | AlphaNeural AI

You can deploy this model and start earning money today!

gghfez/
WizardLM-2-8x22B-Beige-exl2_5.0bpw

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text-generation

autotrain_compatible

text-generation-inference

endpoints_compatible

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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:

openbmb/Eurux-8x22b-nca
fireworks-ai/mixtral-8x22b-instruct-oh
migtissera/Tess-2.0-Mixtral-8x22B

Configuration

The following YAML configuration was used to produce this model:

yaml

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