---
license: apache-2.0
model-index:
- name: LeoScorpius-7B-Chat-DPO
  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: 70.48
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=viethq188/LeoScorpius-7B-Chat-DPO
      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: 87.97
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=viethq188/LeoScorpius-7B-Chat-DPO
      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: 65.08
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=viethq188/LeoScorpius-7B-Chat-DPO
      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: 68.83
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=viethq188/LeoScorpius-7B-Chat-DPO
      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: 82.08
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=viethq188/LeoScorpius-7B-Chat-DPO
      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: 69.07
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=viethq188/LeoScorpius-7B-Chat-DPO
      name: Open LLM Leaderboard
---
# Updated: 14th December 2023
We are ranked 3th on the overall leaderboard and 1st in the 7B [Hugging Face Leaderboard!](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)! 🔥🔥🔥



Finetune DPO viethq188/LeoScorpius-7B with [Nectar](https://huggingface.co/datasets/berkeley-nest/Nectar) dataset

![Top 1](top1.png)

![Top 3](top3.png)




You can use alpaca template.
```
template_format = """{system}
### Instruction:
{prompt}

### Response:
"""
```
# [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_viethq188__LeoScorpius-7B-Chat-DPO)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |73.92|
|AI2 Reasoning Challenge (25-Shot)|70.48|
|HellaSwag (10-Shot)              |87.97|
|MMLU (5-Shot)                    |65.08|
|TruthfulQA (0-shot)              |68.83|
|Winogrande (5-shot)              |82.08|
|GSM8k (5-shot)                   |69.07|