How to Autostart Qwen3.6-35B-A3B-NVFP4

The fastest way to get this model running locally is via Optional Features.

Kindly follow the on-screen instructions below.

The setup auto-downloads all needed files (several GBs).

During setup, the script automatically determines and applies the best settings.

🔗 SHA sum: a2913fa7e208fbd5f6d0da23b9f9f9d2 | Updated: 2026-07-02
  • Processor: Intel i5 or AMD Ryzen 5 for basic 7B models
  • RAM: 32 GB or higher for smooth 32k context lengths
  • Disk Space: required: fast PCIe 4.0 drive for instant boots
  • Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

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.

Parameters 35 B
Context Length 128 K tokens
Quantization NVFP4
Architecture A3B
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