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EXAONE Deep

EXAONE Deep is a series of reasoning-enhanced language models launched by LG AI Research, designed to improve reasoning capabilities in fields such as mathematics, science, and programming.

Introduction

EXAONE Deep is a series of reasoning-enhanced language models launched by LG AI Research, designed to improve reasoning capabilities in fields such as mathematics, science, and programming.


Key Features
  1. Multiple Model Sizes

The EXAONE Deep series offers three different model sizes:

  • EXAONE Deep 32B: With 32 billion parameters, it excels at handling complex reasoning tasks.
  • EXAONE Deep 7.8B: A lightweight version, delivering 95% of the 32B model’s performance with only 24% of its size.
  • EXAONE Deep 2.4B: Optimized for mobile devices, achieving 86% of the 32B model's performance at just 7.5% of its size.

  1. Superior Reasoning Performance

EXAONE Deep demonstrates outstanding results across multiple benchmarks, especially in mathematics:

  • MATH-500 benchmark: The 32B model scored 95.7.
  • 2025 South Korean College Scholastic Ability Test (CSAT) (Mathematics section): Scored 94.5.
  • 2024 American Invitational Mathematics Examination (AIME): Scored 90.0.

The 7.8B and 2.4B models also secured first place across all major benchmarks in science and programming.


  1. Open Source and Accessibility

LG AI Research released EXAONE Deep as an open-source project, allowing researchers and developers free access to explore, modify, and build on the model — driving AI innovation and adoption globally.


  1. Advanced Training Techniques

EXAONE Deep utilizes state-of-the-art training methods, including:

  • Supervised Fine-Tuning (SFT)
  • Direct Preference Optimization (DPO)

These techniques enhance reasoning performance, enabling the model to excel in complex tasks.


  1. Adaptability and Flexibility

EXAONE Deep is designed to be highly adaptable, supporting various frameworks and platforms such as TensorRT-LLM, vLLM, and Ollama — ensuring seamless deployment across diverse environments.


Application Scenarios
  1. Education and Learning
  • Supports students in solving mathematical and scientific problems.
  • Offers step-by-step solutions and logical reasoning breakdowns, helping learners grasp complex concepts more effectively.

  1. Programming and Software Development
  • Generates code, debugs programs, and provides coding suggestions.
  • Its reasoning capability allows it to understand programming logic and produce high-quality code snippets, making it ideal for software development and tech support.

  1. Chatbots and Customer Support
  • Powers intelligent chatbots to deliver accurate, contextual responses to user queries — enhancing customer experience.

  1. Scientific Research and Data Analysis
  • Handles complex data analysis tasks, helping researchers extract valuable insights from large datasets.
  • Supports hypothesis validation and experimental design through its advanced reasoning abilities.

  1. Content Generation and Writing
  • Assists with article writing, report creation, and creative content generation.
  • Generates relevant, structured content based on user-provided topics — ideal for marketing and media industries.

  1. Multilingual Processing
  • Supports multilingual applications, excelling in translation and understanding — especially between English and Korean.
  • Provides value in international business and cross-cultural communication scenarios.

  1. Complex Problem Solving
  • Excels in handling complex logical problems and decision-making processes.
  • Suitable for finance, law, and medicinefields that require high-level reasoning and precise analysis.

With cutting-edge performance, scalability, and open-source availability, EXAONE Deep positions itself as a powerful reasoning AI modelreshaping innovation across education, programming, research, and business solutions.

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