thudm
THUDM: GLM 4 9B
thudm/glm-4-9b
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.
- Context window: 32,000 tokens
- Input: text
- Output: text
View on OpenRouter. Model data sourced from OpenRouter.