初始化项目，由ModelHub XC社区提供模型

Model: NewstaR/Morningstar-13b-hf
Source: Original Platform

README.md

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+---
+language:
+- en
+tags:
+- llama
+- llama2
+---
+# MorningStar
+
+![Morningstar](Morningstar.jpg)
+
+| Model                            | Average ⬆️ | ARC   | HellaSwag | MMLU  | TruthfulQA |
+|----------------------------------|------------|-------|-----------|-------|------------|
+| NewstaR/Morningstar-13b-hf 📑   | 59.93      | 59.04 | 81.93     | 54.63 | 44.12      |
+
+
+## Model Details
+- Model name: MorningStar
+- Model type: LLaMa 2 (13 billion parameters)
+
+## Intended Use
+- Text generation
+- Content creation
+- Conversational agent
+
+## Capabilities
+MorningStar is optimized for natural language processing tasks like text generation and dialogue. It can produce fluent, coherent text across a variety of topics.
+
+## Limitations
+- May generate incorrect or nonsensical text
+- Lacks true language understanding
+- Potential for generating biased or unsafe content
+
+## Training Data
+Details on MorningStar's training data are unavailable. It was likely trained on a large corpus of text data scraped from the internet.
+
+## Ethical Considerations
+- Large language models like MorningStar carry risks around bias, toxicity, and misinformation.
+- Model outputs should be monitored and filtered before use in real applications.
+- Avoid harmful or unethical prompts.
+# [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_NewstaR__Morningstar-13b-hf)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 50.48   |
+| ARC (25-shot)         | 59.04          |
+| HellaSwag (10-shot)   | 81.93    |
+| MMLU (5-shot)         | 54.63         |
+| TruthfulQA (0-shot)   | 44.12   |
+| Winogrande (5-shot)   | 74.51   |
+| GSM8K (5-shot)        | 15.24        |
+| DROP (3-shot)         | 23.87         |