---
language:
- en
license: apache-2.0
model-index:
- name: v1olet_merged_dpo_7B
  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: 71.33
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=v1olet/v1olet_merged_dpo_7B
      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: 87.34
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=v1olet/v1olet_merged_dpo_7B
      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: 64.13
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=v1olet/v1olet_merged_dpo_7B
      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: 63.37
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=v1olet/v1olet_merged_dpo_7B
      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: 82.0
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=v1olet/v1olet_merged_dpo_7B
      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: 53.37
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=v1olet/v1olet_merged_dpo_7B
      name: Open LLM Leaderboard
---

DPO from the model ranked *6th* on the overall leaderboard and **1st** in the 7B leaderboard - v1olet/v1olet_marcoroni-go-bruins-merge-7B.

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

### Response:
"""
```

Developed by: Trong-Hieu Nguyen-Mau

# [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_v1olet__v1olet_merged_dpo_7B)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |70.26|
|AI2 Reasoning Challenge (25-Shot)|71.33|
|HellaSwag (10-Shot)              |87.34|
|MMLU (5-Shot)                    |64.13|
|TruthfulQA (0-shot)              |63.37|
|Winogrande (5-shot)              |82.00|
|GSM8k (5-shot)                   |53.37|