README.md

---
language:
- en
license: cc-by-nc-4.0
datasets:
- garage-bAInd/Open-Platypus
model-index:
- name: Nova-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: 62.71
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TFLai/Nova-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: 82.57
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TFLai/Nova-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: 57.98
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TFLai/Nova-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: 51.34
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TFLai/Nova-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: 77.27
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TFLai/Nova-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: 6.75
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TFLai/Nova-13B
      name: Open LLM Leaderboard
---
![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/kSzHx_yaHRhzVSmUIJ_Yl.jpeg)

<a href="https://www.buymeacoffee.com/PulsarAI" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 60px !important;width: 217px !important;" ></a>


# Nova-13b

Original weights of Nova-13B. Finetuned from [AIDC-ai-business/Luban-13B](https://huggingface.co/AIDC-ai-business/Luban-13B).

## Lora Weights

You can access lora weights from here:

[Weyaxi/Nova-13B-Lora](https://huggingface.co/Weyaxi/Nova-13B-Lora)

# Loss Graph

![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/qFhP3fyTgWmBDPBHvUmus.png)
# [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_TFLai__Nova-13B)

| Metric                | Value                     |
|-----------------------|---------------------------|
| Avg.                  | 49.64   |
| ARC (25-shot)         | 62.71          |
| HellaSwag (10-shot)   | 82.57    |
| MMLU (5-shot)         | 57.98         |
| TruthfulQA (0-shot)   | 51.34   |
| Winogrande (5-shot)   | 77.27   |
| GSM8K (5-shot)        | 6.75        |
| DROP (3-shot)         | 8.84         |

# [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_TFLai__Nova-13B)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |56.44|
|AI2 Reasoning Challenge (25-Shot)|62.71|
|HellaSwag (10-Shot)              |82.57|
|MMLU (5-Shot)                    |57.98|
|TruthfulQA (0-shot)              |51.34|
|Winogrande (5-shot)              |77.27|
|GSM8k (5-shot)                   | 6.75|