Qwen3.6-35B-A3B-NVFP4 with 1M Context

Qwen3.6-35B-A3B-NVFP4 with 1M Context

For the fastest local setup of this model, enabling Windows Features is best.

Refer to the instructions below to proceed.

Hands-free setup: the system self-downloads the heavy model files.

The automated script takes care of everything, tailoring the setup to your specs.

🧾 Hash-sum — 2637cfa9eb1f5aecaf1ed8d38f40c58a • 🗓 Updated on: 2026-06-30



  • CPU: multi-threading optimized for fast prompt processing
  • RAM: 64 GB to avoid OOM crashes on large contexts
  • Disk Space: at least 100 GB for multiple local LLM variants
  • Graphics: CUDA Compute Capability 8.0+ required for flash-attention

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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