Launch Qwen3.6-35B-A3B-NVFP4 Zero Config Windows

To install this model locally in the shortest time, opt for a direct curl execution.

Follow the step-by-step instructions below.

1-click setup: the app automatically fetches the large weight files.

The script runs a quick hardware check to dynamically adjust parameters for elite speed.

🔒 Hash checksum: 08e6bc976164c95f2dbefbedc84740ed • 📆 Last updated: 2026-07-05



  • Processor: 6-core 3.5 GHz minimum required
  • RAM: enough space for background apps and OS overhead
  • Disk Space: 80 GB NVMe SSD required for fast model weights loading
  • Graphics: 12 GB VRAM minimum required for basic quantization

The Qwen3.6-35B-A3B-NVFP4 model represents a significant leap in large language model efficiency, combining 35 billion parameters with an innovative A3B architecture that optimizes both performance and computational cost. By leveraging NVFP4 quantization, the model achieves unprecedented memory savings while maintaining high accuracy across a wide range of NLP tasks. It supports an extended context window of up to 128 K tokens, enabling deeper understanding of long documents and complex reasoning chains. Benchmarks show that the model delivers state‑of‑the‑art results in multilingual generation, code synthesis, and reasoning, all with significantly lower inference latency compared to previous 35 B‑parameter models. The accompanying

provides a quick technical comparison with competing models, highlighting its superior parameter efficiency and hardware utilization.

Parameters35 B
Context Length128 K tokens
QuantizationNVFP4
ArchitectureA3B
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