The GLM-4-32B-0414 is a 32 billion parameter model from the GLM family, pre-trained on 15T high-quality data. It features human preference alignment and reinforcement learning to enhance instruction following, engineering code, and function calling, making it suitable for agent tasks. This model demonstrates strong performance in areas like code generation, artifact generation, function calling, search-based Q&A, and report generation, achieving results comparable to larger models like GPT-4o and DeepSeek-V3-0324 on specific benchmarks.
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