Weyaxi/Nova-13B-50-step
Weyaxi/Nova-13B-50-step is a 13 billion parameter language model developed by Weyaxi, featuring a 4096-token context length. This model demonstrates a balanced performance across various benchmarks, including an average score of 48.93 on the Open LLM Leaderboard. It is suitable for general-purpose language understanding and generation tasks, with notable scores in ARC and HellaSwag evaluations.
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Model Overview
Weyaxi/Nova-13B-50-step is a 13 billion parameter language model with a 4096-token context window. Developed by Weyaxi, this model has been evaluated on the Open LLM Leaderboard, showcasing its capabilities across a range of tasks.
Key Performance Metrics
The model's performance is summarized by its average score of 48.93 on the Open LLM Leaderboard. Specific benchmark results include:
- ARC (25-shot): 61.6
- HellaSwag (10-shot): 82.31
- MMLU (5-shot): 57.27
- TruthfulQA (0-shot): 51.53
- Winogrande (5-shot): 76.56
- GSM8K (5-shot): 4.4
- DROP (3-shot): 8.82
These scores indicate a solid foundation for tasks requiring general knowledge, common sense reasoning, and language comprehension.
Potential Use Cases
Given its balanced performance, Nova-13B-50-step is well-suited for:
- General text generation and completion
- Question answering based on common knowledge
- Reasoning tasks, as indicated by its ARC score
- Applications requiring robust language understanding