Model Overview

theprint/ReWiz-Qwen-2.5-14B is a 14.8 billion parameter language model developed by theprint, based on the Qwen2 architecture. It was fine-tuned from unsloth/qwen2.5-14b-bnb-4bit and notably trained 2x faster by leveraging Unsloth and Huggingface's TRL library, highlighting an optimization in the training process.

Key Capabilities & Performance

This model's performance has been evaluated on the Open LLM Leaderboard, providing insights into its general language understanding and reasoning abilities. Key benchmark results include:

• Average Score: 29.64
• IFEval (0-Shot): 27.85
• BBH (3-Shot): 44.86
• MATH Lvl 5 (4-Shot): 26.89
• GPQA (0-shot): 17.34
• MuSR (0-shot): 15.44
• MMLU-PRO (5-shot): 45.47

These scores indicate its proficiency across various tasks, including complex reasoning, mathematical problem-solving, and general knowledge. The model's efficient training methodology makes it a notable option for developers seeking Qwen2-based models with optimized development cycles.

Good For

• Applications requiring a Qwen2-based model with 14.8 billion parameters.
• Use cases where efficient training and deployment are priorities.
• General language generation and understanding tasks, as indicated by its benchmark performance.