GLM-4-32B-0414: A Powerful 32B Parameter Model

The GLM-4-32B-0414 is a 32 billion parameter model from the GLM family, designed for robust performance across various complex tasks. Pre-trained on an extensive 15 trillion tokens of high-quality data, including significant reasoning-type synthetic data, it lays a strong foundation for advanced applications. The model incorporates human preference alignment and reinforcement learning to excel in instruction following, engineering code, and function calling, making it particularly adept at agent-based tasks.

Key Capabilities

Advanced Code Generation: Demonstrates strong performance in generating engineering code and artifacts, comparable to larger models.
Function Calling: Supports external tool calls using JSON format, enabling integration with various systems via HuggingFace Transformers, vLLM, or sgLang.
Search-Based Q&A and Report Generation: Excels in tasks requiring information retrieval and structured content creation, with performance on par with models like GPT-4o and DeepSeek-V3-0324 on specific benchmarks (e.g., SimpleQA, HotpotQA).
Agent Task Foundation: Enhanced atomic capabilities for agent tasks through post-training techniques like rejection sampling and reinforcement learning.

Good for

Developers building agentic AI systems requiring robust function calling and instruction following.
Applications needing high-quality code generation and artifact creation.
Scenarios demanding accurate search-based question answering and detailed report generation.
Users seeking a powerful 32B parameter model with performance competitive with much larger, proprietary alternatives in specific domains.