---
base_model:
- alpindale/WizardLM-2-8x22B
- openbmb/Eurux-8x22b-nca
- openbmb/Eurux-8x22b-kto
- fireworks-ai/mixtral-8x22b-instruct-oh
- migtissera/Tess-2.0-Mixtral-8x22B
- mistralai/Mixtral-8x22B-v0.1
tags:
- mergekit
- merge
---
# WizardLM-2-8x22B-model_stock

A [mergekit](https://github.com/arcee-ai/mergekit) model_stock merge made with the aim of improving WizardLM-2-8x22B.  
The resulting model suppresses WizardLM-2-8x22B's overly flowery and positive writing style whilst retaining useful features such as CoT. Extremely coherant even at long contexts, and benched above the WLM-2 base in intelligence tests.  
Use vicuna prompt as per WizardLM-2-8x22B base.

exllamav2 [measurement.json](./measurement.json)

mergekit_config.yml
```yml
models:
  - model: alpindale/WizardLM-2-8x22B
  - model: openbmb/Eurux-8x22b-kto
  - model: openbmb/Eurux-8x22b-nca
  - model: mistralai/Mixtral-8x22B-v0.1
  - 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
```

Likely won't be uploading the full weights myself due to bandwidth limitations.