Using the Windows Package Manager is the quickest way to trigger the setup.
Follow the guidelines below to continue.
1-click setup: the app automatically fetches the large weight files.
During setup, the script automatically determines and applies the best settings.
The GLM-4.7-Flash model delivers exceptionally fast inference while maintaining high accuracy across a broad range of language tasks. Built with a parameter count of 26鈥痓illion and a context window of 128鈥痥 tokens, it balances size and efficiency for both research and production environments. Its training leverages a diverse corpus of web鈥憇cale text and multimodal data, enabling robust understanding of images, code, and natural language queries. The model incorporates optimized attention mechanisms that reduce latency, making real鈥憈ime applications such as chat assistants and content generation seamlessly responsive. Compared to earlier GLM versions, GLM-4.7-Flash shows notable improvements in factual consistency and reasoning speed, as highlighted in the following comparison table.
| Parameter Count | 26鈥疊 |
| Context Length | 128鈥痥 tokens |
| Inference Speed | >200 tokens/s |
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