The most rapid route to a local installation of this model is through Docker.
Refer to the instructions below to proceed.
The installer auto-downloads and deploys the entire model pack.
The smart installation system will instantly find the perfect configuration for your specific hardware.
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 |
- VRAM asset streaming stabilizer preventing texture drops during long play
- How to Setup GLM-4.7-Flash with 1M Context 5-Minute Setup
- All-in-one DLC activation script matching latest client platform versions
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- All-in-one DLC activation script matching latest client platform versions
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