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

NewstaR/Morningstar-13b-hf

MorningStar

Model Details

Intended Use

Capabilities

Limitations

Training Data

Ethical Considerations

Open LLM Leaderboard Evaluation Results

NewstaR/
Morningstar-13b-hf