MaziyarPanahi/WizardLM-Math-70B-v0.1
MaziyarPanahi/WizardLM-Math-70B-v0.1 is a 69 billion parameter language model developed by MaziyarPanahi, specifically fine-tuned for mathematical reasoning and problem-solving tasks. It demonstrates enhanced capabilities in step-by-step logical deduction and arithmetic operations, making it suitable for applications requiring precise computational and reasoning abilities. The model has a context length of 32768 tokens.
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Model Overview
MaziyarPanahi/WizardLM-Math-70B-v0.1 is a 69 billion parameter language model, an iteration of the WizardLM series, specifically optimized for mathematical and logical reasoning. This model excels at breaking down complex problems into step-by-step solutions, as demonstrated by its performance on various mathematical and reasoning benchmarks.
Key Capabilities
- Mathematical Problem Solving: Designed to handle arithmetic, algebra, and other mathematical challenges with detailed, step-by-step explanations.
- Logical Reasoning: Shows proficiency in deductive reasoning and understanding contextual nuances in problem statements.
- Instruction Following: Capable of accurately following instructions to provide structured answers, as seen in its problem-solving examples.
Performance Highlights
Evaluations on the Open LLM Leaderboard indicate strong performance, particularly in reasoning and general knowledge tasks:
- MMLU (5-Shot): Achieved 69.14% accuracy.
- GSM8k (5-Shot): Scored 64.44% accuracy, reflecting its mathematical reasoning strength.
- HellaSwag (10-Shot): Demonstrated 86.01% accuracy.
- TruthfulQA (0-shot): Recorded 57.07% accuracy.
When to Use This Model
This model is particularly well-suited for applications requiring robust mathematical and logical reasoning. Consider using it for:
- Educational tools that require step-by-step problem explanations.
- Automated tutors for mathematics and logic.
- Systems needing to parse and solve quantitative problems.
- Any task where precise, reasoned answers to numerical or logical queries are critical.