LLM Reference

GLM-4-Air

About

GLM-4-Air is a cost-effective large language model (LLM) developed by Zhipu AI and Tsinghua University, designed as a more affordable and faster alternative to the full GLM-4 model while maintaining comparable performance. It builds on the Generalized Language Model (GLM) framework, excelling in tasks involving general language understanding, instruction following, and long-context processing. Trained on a massive dataset spanning multiple languages, GLM-4-Air utilizes efficient techniques like FlashAttention and offers notable features such as lower inference costs and faster speeds, making it an accessible option for a wide range of applications. The model's open-source nature further enhances its availability for users.

Capabilities

MultimodalFunction CallingTool UseJSON Mode

Specifications

FamilyGLM-4
Released2024-06-05
ArchitectureDecoder Only
Specializationgeneral