OpenCarrot-Mix-7B / README.md
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---
base_model:
- amazingvince/Not-WizardLM-2-7B
- CarrotAI/OpenCarrot-Mistral-7B-Instruct-v0.2
library_name: transformers
tags:
- mergekit
- merge
license: mit
language:
- ko
- en
---
# output
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 [linear](https://arxiv.org/abs/2203.05482) merge method.
### Models Merged
The following models were included in the merge:
* [amazingvince/Not-WizardLM-2-7B](https://huggingface.co/amazingvince/Not-WizardLM-2-7B)
* [CarrotAI/OpenCarrot-Mistral-7B-Instruct-v0.2](https://huggingface.co/CarrotAI/OpenCarrot-Mistral-7B-Instruct-v0.2)
### Score
```
openai/gpt-4 : 0.6158
gemini-pro: 0.515
OpenCarrot-Mix-7B (this) : 0.4425
mistralai/Mixtral-8x7B-Instruct-v0.1 : 0.4304
openai/gpt-3.5-turbo : 0.4217
```
| ํ‰๊ฐ€ ์ง€ํ‘œ | ์ ์ˆ˜ |
|--------------|---------|
| AVG_llm_kr_eval | 0.4425 |
| EL | 0.0522 |
| FA | 0.0865 |
| NLI | 0.6700 |
| QA | 0.5100 |
| RC | 0.8937 |
| klue_ner_set_f1| 0.0944 |
| klue_re_exact_match | 0.0100 |
| kmmlu_preview_exact_match | 0.4000 |
| kobest_copa_exact_match | 0.8200 |
| kobest_hs_exact_match | 0.5500 |
| kobest_sn_exact_match | 0.9800 |
| kobest_wic_exact_match | 0.6200 |
| korea_cg_bleu | 0.0865 |
| kornli_exact_match | 0.6400 |
| korsts_pearson | 0.8547 |
| korsts_spearman| 0.8464 |
LogicKor
| ์นดํ…Œ๊ณ ๋ฆฌ | ์‹ฑ๊ธ€ ์ ์ˆ˜ ํ‰๊ท  | ๋ฉ€ํ‹ฐ ์ ์ˆ˜ ํ‰๊ท  |
|----------|------------------|-------------------|
| ์ฝ”๋”ฉ(Coding) | 7.71 | 7.71 |
| ์ˆ˜ํ•™(Math) | 5.57 | 3.86 |
| ์ดํ•ด(Understanding) | 6.86 | 8.14 |
| ์ถ”๋ก (Reasoning) | 8.14 | 6.43 |
| ๊ธ€์“ฐ๊ธฐ(Writing) | 8.71 | 6.86 |
| ๋ฌธ๋ฒ•(Grammar) | 5.29 | 2.29 |
| ์นดํ…Œ๊ณ ๋ฆฌ | ์‹ฑ๊ธ€ ์ ์ˆ˜ ํ‰๊ท  | ๋ฉ€ํ‹ฐ ์ ์ˆ˜ ํ‰๊ท  |
|------------|------------------|-------------------|
| ์ „์ฒด ์‹ฑ๊ธ€ | 7.05 | 5.88 |
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: amazingvince/Not-WizardLM-2-7B
parameters:
weight: 1.0
- model: CarrotAI/OpenCarrot-Mistral-7B-Instruct-v0.2
parameters:
weight: 0.5
merge_method: linear
dtype: float16
```