Using a native PowerShell script is the absolute quickest way to install this model.
Execute the commands and steps outlined below.
The tool automatically synchronizes and downloads the model database.
An automated hardware sweep ensures the system will select the best tuning parameters.
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 billion and a context window of 128 k tokens, it balances size and efficiency for both research and production environments. Its training leverages a diverse corpus of web‑scale 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‑time 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 B |
| Context Length | 128 k tokens |
| Inference Speed | >200 tokens/s |
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