---
language:
- en
license: cc-by-nc-4.0
datasets:
- garage-bAInd/Open-Platypus
model-index:
- name: SynthIA-v1.3-Nebula-v2-7B
  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: 59.39
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/SynthIA-v1.3-Nebula-v2-7B
      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: 82.77
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/SynthIA-v1.3-Nebula-v2-7B
      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: 57.57
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/SynthIA-v1.3-Nebula-v2-7B
      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: 50.62
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/SynthIA-v1.3-Nebula-v2-7B
      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: 74.74
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/SynthIA-v1.3-Nebula-v2-7B
      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: 24.87
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/SynthIA-v1.3-Nebula-v2-7B
      name: Open LLM Leaderboard
---
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/cKySe1S5IW_KnbZpKmozQ.png)

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# SynthIA-v1.3-Nebula-v2-7B

SynthIA-v1.3-Nebula-v2-7B is a merge of [migtissera/SynthIA-7B-v1.3](https://huggingface.co/migtissera/SynthIA-7B-v1.3) and [PulsarAI/Nebula-v2-7B-Lora](https://huggingface.co/PulsarAI/Nebula-v2-7B-Lora)

# Evaluation Results ([Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard))

| Metric                | Value     |
|-----------------------|-----------|
| Avg.                  |           |
| ARC (25-shot)         |           |
| HellaSwag (10-shot)   |           |
| MMLU (5-shot)         |           |
| TruthfulQA (0-shot)   |           |
| Winogrande (5-shot)   |           |
| GSM8K (5-shot)        |           |
| DROP (3-shot)         |           |

# [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_Weyaxi__SynthIA-v1.3-Nebula-v2-7B)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |58.33|
|AI2 Reasoning Challenge (25-Shot)|59.39|
|HellaSwag (10-Shot)              |82.77|
|MMLU (5-Shot)                    |57.57|
|TruthfulQA (0-shot)              |50.62|
|Winogrande (5-shot)              |74.74|
|GSM8k (5-shot)                   |24.87|