---
language:
- en
tags:
- llama-2
- instruct
- instruction
pipeline_tag: text-generation
model-index:
- name: sitebunny-13b
  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: 63.14
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=42MARU/sitebunny-13b
      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: 83.64
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=42MARU/sitebunny-13b
      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: 59.91
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=42MARU/sitebunny-13b
      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: 56.21
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=42MARU/sitebunny-13b
      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: 76.72
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=42MARU/sitebunny-13b
      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: 9.4
      name: accuracy
    source:
      url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=42MARU/sitebunny-13b
      name: Open LLM Leaderboard
---

# GenAI-llama-2-13b

### Model Details
- Developed by: [42MARU](https://www.42maru.ai/en/)
- Backbone Model: [LLaMA-2](https://github.com/facebookresearch/llama/tree/main)
- Library: [transformers](https://github.com/huggingface/transformers)

### Used Datasets
- Orca-style dataset
- Platypus

### Prompt Template
```
### User:
{User}

### Assistant:
{Assistant}
```

### Intruduce 42MARU
- At 42Maru we study QA (Question Answering) and are developing advanced search paradigms that help users spend less time searching by understanding natural language and intention thanks to AI and Deep Learning.
- [About Us](https://www.42maru.ai/en/about-us/)
- [Contact Us](https://www.42maru.ai/en/contact/)

### Contribute
- [l-yohai](https://github.com/l-yohai)


### License
[LICENSE.txt](meta-license/LICENSE.txt)

### USE_POLICY
[USE_POLICY.md](meta-license/USE_POLICY.md)

### Responsible Use Guide
[Responsible-Use-Guide.pdf](meta-license/Responsible-Use-Guide.pdf)
# [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_42MARU__sitebunny-13b)

| Metric                | Value                     |
|-----------------------|---------------------------|
| Avg.                  | 56.03   |
| ARC (25-shot)         | 63.14          |
| HellaSwag (10-shot)   | 83.64    |
| MMLU (5-shot)         | 59.91         |
| TruthfulQA (0-shot)   | 56.21   |
| Winogrande (5-shot)   | 76.72   |
| GSM8K (5-shot)        | 9.4        |
| DROP (3-shot)         | 43.23         |

# [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_42MARU__sitebunny-13b)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |58.17|
|AI2 Reasoning Challenge (25-Shot)|63.14|
|HellaSwag (10-Shot)              |83.64|
|MMLU (5-Shot)                    |59.91|
|TruthfulQA (0-shot)              |56.21|
|Winogrande (5-shot)              |76.72|
|GSM8k (5-shot)                   | 9.40|