Audience

Researchers and developers requiring a tool offering advanced language models for enhanced reasoning tasks in mathematics and coding

About EXAONE Deep

EXAONE Deep is a series of reasoning-enhanced language models developed by LG AI Research, featuring parameter sizes of 2.4 billion, 7.8 billion, and 32 billion. These models demonstrate superior capabilities in various reasoning tasks, including math and coding benchmarks. Notably, EXAONE Deep 2.4B outperforms other models of comparable size, EXAONE Deep 7.8B surpasses both open-weight models of similar scale and the proprietary reasoning model OpenAI o1-mini, and EXAONE Deep 32B shows competitive performance against leading open-weight models. The repository provides comprehensive documentation covering performance evaluations, quickstart guides for using EXAONE Deep models with Transformers, explanations of quantized EXAONE Deep weights in AWQ and GGUF formats, and instructions for running EXAONE Deep models locally using frameworks like llama.cpp and Ollama.

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Company Information

LG
Founded: 1947
South Korea
github.com/LG-AI-EXAONE/EXAONE-Deep

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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

EXAONE Deep Frequently Asked Questions

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