WizardLMTeam/WizardMath-70B-V1.0

TEXT GENERATIONConcurrency Cost:4Model Size:69BQuant:FP8Ctx Length:32kPublished:Aug 11, 2023License:llama2Architecture:Transformer0.1K Open Weights Cold

WizardMath-70B-V1.0 is a 69 billion parameter large language model developed by WizardLMTeam, specifically optimized for advanced mathematical reasoning tasks. Utilizing Reinforced Evol-Instruct (RLEIF), this model demonstrates strong performance on benchmarks like GSM8k and MATH, surpassing several larger models and even some proprietary LLMs in mathematical problem-solving. It is designed to empower LLMs with enhanced capabilities for complex mathematical challenges.

Loading preview...

WizardMath-70B-V1.0: Empowering Mathematical Reasoning

WizardMath-70B-V1.0 is a 69 billion parameter model from WizardLMTeam, specifically engineered to enhance mathematical reasoning in large language models. It leverages a training methodology called Reinforced Evol-Instruct (RLEIF) to achieve its specialized capabilities.

Key Capabilities & Performance

  • Exceptional Mathematical Reasoning: The model demonstrates strong performance on mathematical benchmarks, achieving 81.6 pass@1 on GSM8k and 22.7 pass@1 on MATH.
  • Competitive Benchmarking: WizardMath-70B-V1.0 has shown to surpass models like ChatGPT, Claude Instant, and PaLM 2 540B on the GSM8k benchmark, positioning it as a highly capable model for math-intensive applications.
  • Data Integrity: The developers rigorously checked training data for contamination, employing multiple deduplication methods to prevent leakage from GSM8k and MATH test sets.

Usage Considerations

  • System Prompt Sensitivity: Users are advised to strictly follow the recommended system prompts for optimal performance, with specific guidance for default and Chain-of-Thought (CoT) versions.
  • License: This model is released under the Llama 2 License, indicating its foundational architecture.

Good For

  • Complex Mathematical Problem Solving: Ideal for applications requiring high accuracy in arithmetic, algebra, and other mathematical domains.
  • Research and Development: Suitable for researchers exploring advanced mathematical reasoning in LLMs and those building applications that demand robust numerical capabilities.

Finetunes
1 models