GLM-Z1-32B-0414

模型描述

This advanced model builds upon the foundation of GLM-4-32B-0414, incorporating specialized training in mathematics, programming, and logical reasoning to improve its analytical abilities. A key innovation in its development is the use of pairwise ranking-based reinforcement learning (RL), which refines the model’s general reasoning skills beyond standard fine-tuning. Despite its relatively compact size of 32 billion parameters, GLM-Z1-32B-0414 demonstrates competitive performance against much larger models like the 671B-parameter DeepSeek-R1 in certain tasks. Evaluations on benchmarks such as AIME 24/25, LiveCodeBench, and GPQA confirm its strong mathematical and logical reasoning capabilities, making it suitable for tackling a wide range of complex real-world problems.

🔔如何使用

graph LR A("Purchase Now") --> B["Start Chat on Homepage"] A --> D["Read API Documentation"] B --> C["Register / Login"] C --> E["Enter Key"] D --> F["Enter Endpoint & Key"] E --> G("Start Using") F --> G style A fill:#f9f9f9,stroke:#333,stroke-width:1px style B fill:#f9f9f9,stroke:#333,stroke-width:1px style C fill:#f9f9f9,stroke:#333,stroke-width:1px style D fill:#f9f9f9,stroke:#333,stroke-width:1px style E fill:#f9f9f9,stroke:#333,stroke-width:1px style F fill:#f9f9f9,stroke:#333,stroke-width:1px style G fill:#f9f9f9,stroke:#333,stroke-width:1px

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