Morningstar-13b-hf/README.md

language, tags

language	tags
en	llama llama2

MorningStar

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

Detailed results can be found here

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