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THUDM: GLM 4 9B

thudm/glm-4-9b

Model weights

GLM-4-9B-0414 is a 9 billion parameter language model from the GLM-4 series developed by THUDM. Trained using the same reinforcement learning and alignment strategies as its larger 32B counterparts, GLM-4-9B-0414 achieves high performance relative to its size, making it suitable for resource-constrained deployments that still require robust language understanding and generation capabilities.

Modalities

Context

32K

Released

Apr 25, 2025

Knowledge Cutoff

Jun 2024

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Frequently asked questions

GLM-4-9B-0414 is a 9 billion parameter language model from the GLM-4 series developed by THUDM. Trained using the same reinforcement learning and alignment strategies as its larger 32B counterparts, GLM-4-9B-0414 achieves high performance relative to its size, making it suitable for resource-constrained deployments that still require robust language understanding and generation capabilities.

GLM 4 9B has a 32,000 token context window.

GLM 4 9B was released on April 25, 2025. Its knowledge cutoff is June 30, 2024.