| 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](https://github.com/cg123/mergekit). | |
| ## Merge Details | |
| ### Merge Method | |
| 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. | |
| ### Models Merged | |
| The following models were included in the merge: | |
| * [openbmb/Eurux-8x22b-nca](https://huggingface.co/openbmb/Eurux-8x22b-nca) | |
| * [fireworks-ai/mixtral-8x22b-instruct-oh](https://huggingface.co/fireworks-ai/mixtral-8x22b-instruct-oh) | |
| * [migtissera/Tess-2.0-Mixtral-8x22B](https://huggingface.co/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 | |
| ``` | |