---
language:
- ko
- en
license: llama2
library_name: transformers
model-index:
- name: mnsim-dpo-peftmerged-2-eos
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 55.63
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=msy127/mnsim-dpo-peftmerged-2-eos
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 77.82
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=msy127/mnsim-dpo-peftmerged-2-eos
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 51.25
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=msy127/mnsim-dpo-peftmerged-2-eos
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 46.37
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=msy127/mnsim-dpo-peftmerged-2-eos
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 76.24
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=msy127/mnsim-dpo-peftmerged-2-eos
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 16.91
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=msy127/mnsim-dpo-peftmerged-2-eos
      name: Open LLM Leaderboard
---

---
license: llama2
language:
- ko
- en
library_name: transformers
base_model: mncai/llama2-13b-dpo-v7
pipeline_tag: text-generation
---

# **mnsim-dpo-peftmerged-2-eos**


## Our Team

| Research & Engineering | Product Management |
| :--------------------: | :----------------: |
|     David Sohn         |      David Sohn    |


## **Model Details**

### **Base Model**

[mncai/llama2-13b-dpo-v7](https://huggingface.co/mncai/llama2-13b-dpo-v7)

### **Trained On**

-   **OS**: Ubuntu 22.04
-   **GPU**: A100 40GB 1ea
-   **transformers**: v4.35.2

### **Instruction format**

It follows **Custom** format.

E.g.

```python
text = """\
<s>
<|user|>
건강한 식습관을 만들기 위해서는 어떻게 하는것이 좋을까요?
<|assistant|>
"""
```


## **Implementation Code**

This model contains the chat_template instruction format.  
You can use the code below.

```python
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="msy127/mnsim-dpo-peftmerged-2-eos")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("msy127/mnsim-dpo-peftmerged-2-eos")
model = AutoModelForCausalLM.from_pretrained("msy127/mnsim-dpo-peftmerged-2-eos")
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_msy127__mnsim-dpo-peftmerged-2-eos)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |54.04|
|AI2 Reasoning Challenge (25-Shot)|55.63|
|HellaSwag (10-Shot)              |77.82|
|MMLU (5-Shot)                    |51.25|
|TruthfulQA (0-shot)              |46.37|
|Winogrande (5-shot)              |76.24|
|GSM8k (5-shot)                   |16.91|