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3.75bpw EXL2 quant of https://huggingface.co/gghfez/WizardLM-2-8x22B-Beige |
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This is the biggest quant we can fit into 72GB of VRAM (eg. 3x3090 cards) with a Q4 cache |
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--- |
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base_model: |
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- openbmb/Eurux-8x22b-nca |
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- alpindale/WizardLM-2-8x22B |
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- fireworks-ai/mixtral-8x22b-instruct-oh |
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- migtissera/Tess-2.0-Mixtral-8x22B |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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--- |
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# WizardLM-2-8x22B-BigMerge |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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### Merge Method |
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This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [alpindale/WizardLM-2-8x22B](https://huggingface.co/alpindale/WizardLM-2-8x22B) as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* [openbmb/Eurux-8x22b-nca](https://huggingface.co/openbmb/Eurux-8x22b-nca) |
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* [fireworks-ai/mixtral-8x22b-instruct-oh](https://huggingface.co/fireworks-ai/mixtral-8x22b-instruct-oh) |
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* [migtissera/Tess-2.0-Mixtral-8x22B](https://huggingface.co/migtissera/Tess-2.0-Mixtral-8x22B) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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models: |
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- model: alpindale/WizardLM-2-8x22B |
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- model: openbmb/Eurux-8x22b-nca |
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- model: migtissera/Tess-2.0-Mixtral-8x22B |
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- model: fireworks-ai/mixtral-8x22b-instruct-oh |
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base_model: alpindale/WizardLM-2-8x22B |
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merge_method: model_stock |
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dtype: bfloat16 |
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``` |
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