GLM-4-9B-0414

API Reference

About GLM-4-9B-0414

GLM-4-9B-0414 is a small-sized model in the GLM series with 9 billion parameters. This model inherits the technical characteristics of the GLM-4-32B series but offers a more lightweight deployment option. Despite its smaller scale, GLM-4-9B-0414 still demonstrates excellent capabilities in code generation, web design, SVG graphics generation, and search-based writing tasks. The model also supports function calling features, allowing it to invoke external tools to extend its range of capabilities. The model shows a good balance between efficiency and effectiveness in resource-constrained scenarios, providing a powerful option for users who need to deploy AI models under limited computational resources. Like other models in the same series, GLM-4-9B-0414 also demonstrates competitive performance in various benchmark tests

Use Case

Discover how GLM-4-9B-0414's efficient intelligence and function calling capabilities solve real-world challenges, even in resource-constrained scenarios.

Intelligent Code & UI Generation

Rapidly generate functional code snippets, web interfaces, and SVG graphics from natural language, accelerating development cycles.

Use Case Example:

"Generated a responsive React component for a dashboard, including interactive SVG charts, from a single design prompt, saving hours of front-end development."

Advanced Data Analysis & Reporting

Perform complex quantitative analysis on diverse datasets, infer insights, and generate comprehensive, search-augmented reports.

Use Case Example:

"Analyzed market trends and company financials to produce a detailed investment report, incorporating real-time data via function calls, providing actionable strategic recommendations."

Automated System Scripting

Automate IT operations by generating scripts and configuration files, and orchestrating external tools via function calls for system management.

Use Case Example:

"Created a Python script to automate cloud resource provisioning (VMs, databases) and configured network security groups by invoking cloud APIs through function calls, streamlining deployment."

Mathematical & Logical Problem Solving

Solve complex mathematical and logical problems step-by-step, generating clear explanations for educational or research needs.

Use Case Example:

"Developed a detailed, multi-step solution for a differential equation, breaking down each stage for a physics researcher, reducing theoretical validation time."

Lightweight Agentic Automation

Deploy intelligent agents in resource-constrained environments to perform multi-step tasks by reasoning and interacting with external tools.

Use Case Example:

"An edge device agent used GLM-4-9B-0414 to monitor sensor data, detect anomalies, and trigger alerts via an external messaging API, all within a low-power compute budget."

Metadata

Create on

Apr 18, 2025

License

MIT

Provider

Z.ai

HuggingFace

GLM-4-9B-0414

Specification

State

Deprecated