Qwen3.6-35B-A3B Quantized GGUF Direct EXE Setup Windows

Qwen3.6-35B-A3B Quantized GGUF Direct EXE Setup Windows

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

Make sure to follow the instructions below.

The installer automatically pulls the model (could be multiple GBs).

Once launched, the wizard detects your specs to configure the model for maximum efficiency.

🔐 Hash sum: e8a7e44eda9b778c2914024b7e7afed2 | 📅 Last update: 2026-06-28



  • Processor: next-gen chip for heavy context processing
  • RAM: 64 GB to avoid OOM crashes on large contexts
  • Disk Space: free: 80 GB on system drive for scratch space
  • Graphics: CUDA Compute Capability 8.0+ required for flash-attention

The Qwen3.6-35B-A3B is a large language model featuring 35 billion parameters and an advanced A3B architecture designed for superior reasoning and instruction following. It supports an extended context window of 128K tokens, enabling the model to understand and generate long‑form content with high coherence. Trained on a diverse corpus of web‑scale text and curated academic resources, the model demonstrates state‑of‑the‑art performance across a wide range of benchmarks, from language understanding to code generation. The model also incorporates multimodal capabilities, allowing it to process and generate text alongside images, which expands its utility in creative and analytical tasks. In practical applications, Qwen3.6-35B-A3B excels in complex problem solving, delivering accurate answers while maintaining low latency and efficient memory usage, as shown in the following technical overview.

Parameters 35 B
Context Length 128K tokens
Training Data Web‑scale + academic corpora
Peak FLOPs ≈2.1×10^20
Model Type Autoregressive transformer with A3B blocks
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