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---
base_model:
- alpindale/WizardLM-2-8x22B
- HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1
library_name: transformers
tags:
- mergekit
- merge
license: cc-by-nc-sa-4.0
---
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Models Merged
The following models were included in the merge:
* [alpindale/WizardLM-2-8x22B](https://huggingface.co/alpindale/WizardLM-2-8x22B)
* [HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1](https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1)
## Benchmark results
### 1. MT-Bench from lmsys
We adapted the code from [FastChat](https://github.com/lm-sys/FastChat/tree/main/fastchat/llm_judge) to benchmark our model with GPT-4 as a judge. Here is the result
```
| | Model | Turn | Score |
|-------|--------------------------|------|----------|
| First | tlphams/Wizard-Zephyr-Orpo-8x22B | 1 | 9.1625 |
| | mistralai/Mixtral-8x22B-Instruct-v0.1 | 1 | 9.1500 |
| Second| tlphams/Wizard-Zephyr-Orpo-8x22B | 2 | 8.873418 |
| | mistralai/Mixtral-8x22B-Instruct-v0.1 | 2 | 8.250000 |
| Average| tlphams/Wizard-Zephyr-Orpo-8x22B | | 9.018868 |
| | mistralai/Mixtral-8x22B-Instruct-v0.1 | | 8.700000 |
```
The score is slightly lower than [alpindale/WizardLM-2-8x22B](https://huggingface.co/alpindale/WizardLM-2-8x22B), but still higher than GPT-4-0314. Then the research and experimental work still need to continue ^^ |