---
license: other
license_name: tongyi-qianwen
license_link: https://huggingface.co/Qwen/Qwen2-72B-Instruct/resolve/main/LICENSE
---
This model is an improved version for Korean, based on the [Qwen2-72B-Instruct](https://huggingface.co/Qwen/Qwen2-72B-Instruct) model.


### LogicKor Benchmark (24.07.31)
* [The following benchmark](https://lk.instruct.kr/) ranks are based on 1-shot evaluation.
| Rank | Model | Reasoning | Math  | Writing | Coding | Understanding | Grammar | Singleturn | Multiturn | Total | Parameters | 
|------|-------|-----------|-------|--------|--------|-------|---------|-----------|-----------|-------|---------|
| 1    | openai/gpt-4o-2024-05-13 | 9.21 | 8.71 | 9.64 | 9.78 | 9.64 | 9.50 | 9.33 | 9.50 | 9.41 | ? |
| 2    | anthropic/claude-3-5-sonnet-20240620 | 8.64 | 8.42 | 9.85 | 9.78 | 9.92 | 9.21 | 9.26 | 9.35 | 9.30 | ? |
| 4    | mistralai/Mistral-Large-Instruct-2407 | 9.71 | 9.07 | 9.57 | 9.92 | 9.92 | 6.78 | 9.19 | 9.14 | 9.16 | 123B |
| 8    | meta-llama/Meta-Llama-3.1-405B-Instruct-FP8 | 8.78 | 7.14 | 9.28 | 9.64 | 9.64| 8.57 | 8.97 | 8.71 | 8.84 | 405B |
| 9    | ```denial07/Qwen2-72B-Instruct-kor-dpo``` | 8.85 | 8.21 | 9.14 | 9.71 | 9.64 | 7.21 | 8.88 | 8.71 | 8.79 | 72B |
| 10    | Qwen/Qwen2-72B-Instruct | 8.00 | 8.14 | 9.07 | 9.85 | 9.78 | 7.28 | 8.61 | 8.76 | 8.69 | 72B |
| 11    | google/gemini-1.5-pro-001 | 7.00 | 8.00 | 9.57 | 8.85 | 9.35 | 8.64 | 8.61 | 8.52 | 8.57 | ? |

### KMMLU Benchmark
* [HAERAE-HUB/KMMLU](https://huggingface.co/datasets/HAERAE-HUB/KMMLU) benchmark accuracy score.
  | Category        |Qwen2-72B-it-kor-dpo| Qwen2-72B-it  | Mistral-Large-it-2407 | Questions  |
  |-----------------|--------------------|---------------|-----------------------|------------|
  | HUMSS           |     0.63           |   0.63        |        0.62           | 5130       |
  | STEM            |     0.59           |   0.59        |        0.57           | 9900       |
  | Applied Science |     0.56           |   0.56        |        0.54           | 11600      |
  | Other           |     0.58           |   0.58        |        0.54           | 8400       |
  | Overall Accuracy|     0.58           |   0.58        |        0.56           | 35030      |