EXAONE Deep是由LG AI Research推出的一系列推理增强语言模型，旨在提升在数学、科学和编程等领域的推理能力。
特点
1. 多种模型规模
EXAONE Deep系列包括三种不同规模的模型：
- EXAONE Deep 32B：拥有320亿个参数，适合处理复杂的推理任务。
- EXAONE Deep 7.8B：轻量级模型，保持了高达95%的性能，尽管其参数量仅为32B模型的24%。
- EXAONE Deep 2.4B：专为移动设备优化，能够在仅占32B模型7.5%大小的情况下，达到86%的性能。
2. 优越的推理能力
EXAONE Deep在多个基准测试中表现出色，尤其是在数学领域：
- 在MATH-500基准测试中，32B模型得分为95.7。
- 在2025年韩国大学修学能力考试（CSAT）数学部分中，得分为94.5。
- 在美国邀请数学考试（AIME 2024）中，得分为90.0。
此外，EXAONE Deep在科学和编程领域的表现同样优异，7.8B和2.4B模型在所有主要基准测试中均获得第一名。
3. 开源与可访问性
LG AI Research将EXAONE Deep模型作为开源项目发布，允许研究人员和开发者自由访问和构建。这一举措旨在促进AI技术的研究和应用，推动更广泛的创新。
4. 先进的训练技术
EXAONE Deep模型采用了多种先进的训练技术，包括监督微调（SFT）和直接偏好优化（DPO），以增强其推理能力。这些技术使得模型能够在复杂任务中表现出色。
5. 适应性与灵活性
EXAONE Deep模型能够在多种推理任务中灵活应用，适用于不同的框架和平台，如TensorRT-LLM、vLLM和Ollama等。这种适应性使得模型在实际应用中具有更高的实用性。
应用场景
1. 教育与学习
EXAONE Deep在教育领域的应用非常广泛，能够帮助学生解决数学和科学问题。其强大的推理能力使其能够提供详细的解题步骤和逻辑推理，帮助学生更好地理解复杂概念。
2. 编程与软件开发
该模型在编程任务中表现出色，能够生成代码、调试程序并提供编程建议。EXAONE Deep的推理能力使其能够理解编程逻辑并生成高质量的代码片段，适用于软件开发和技术支持。
3. 聊天机器人与客户支持
EXAONE Deep可以用于开发智能聊天机器人，提供客户支持服务。其自然语言处理能力使其能够理解用户查询并提供准确的响应，从而提升客户体验。
4. 科学研究与数据分析
在科学研究中，EXAONE Deep能够处理复杂的数据分析任务，帮助研究人员从大量数据中提取有价值的信息。其推理能力使其能够进行假设验证和实验设计。
5. 内容生成与创作
该模型还可以用于内容生成，包括文章撰写、报告编写和创意写作。EXAONE Deep能够根据用户提供的主题生成相关内容，适用于市场营销和媒体行业。
6. 多语言处理
EXAONE Deep支持多语言应用，特别是在英语和韩语之间的翻译和理解方面表现优异。这使其在国际化业务和跨文化交流中具有重要价值。
7. 复杂问题解决
EXAONE Deep的推理能力使其能够处理复杂的逻辑问题和决策制定，适用于金融、法律和医疗等需要高水平推理的专业领域。
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
- 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.
- 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.
- 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.
- 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.
- 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
- 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.
- 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.
- Chatbots and Customer Support
- Powers intelligent chatbots to deliver accurate, contextual responses to user queries — enhancing customer experience.
- 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.
- 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.
- 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.
- Complex Problem Solving
- Excels in handling complex logical problems and decision-making processes.
- Suitable for finance, law, and medicine — fields 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 model — reshaping innovation across education, programming, research, and business solutions.
