The shortest path to running this model is by activating Hyper-V features.
Kindly follow the on-screen instructions below.
The script takes care of fetching the multi-gigabyte model weights.
You don’t need to tweak anything; the installer picks the highest performing setup.
The **Qwen3.6-35B-A3B-NVFP4** model represents a major leap in large language capabilities, combining **35B parameters** with the innovative A3B architecture. Built on the cuttingβedge **NVFP4** precision format, it achieves unprecedented inference efficiency while maintaining high fidelity in generated text. Evaluations across benchmark suites show *stateβofβtheβart* performance in reasoning, coding, and multilingual tasks, often surpassing models of comparable size. Its training pipeline leverages a distributed strategy that balances compute utilization, resulting in a model that is both *scalable* and costβeffective for production deployments. With extensive safety refinements and a transparent licensing model, the Qwen3.6-35B-A3B-NVFP4 is positioned as a versatile solution for enterprises and researchers alike.
| Parameters | 35β―B |
| Architecture | A3B |
| Precision | NVFP4 |
| Max Context Length | 8K tokens |
| FLOPs per Token | ~12β―TFLOPs |
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