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Setup Qwen3.6-35B-A3B-MLX-8bit on Copilot+ PC No Python Required For Beginners

Setup Qwen3.6-35B-A3B-MLX-8bit on Copilot+ PC No Python Required For Beginners

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

Carefully read and apply the steps described below.

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

An automated hardware sweep ensures the system will select the best tuning parameters.

📎 HASH: f02dbd746d295d0ad36826d6ae64e684 | Updated: 2026-06-23



  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: 48 GB needed to prevent memory swapping to disk
  • Disk Space: required: fast PCIe 4.0 drive for instant boots
  • Graphics: 12 GB VRAM minimum required for basic quantization

The Qwen3.6-35B-A3B-MLX-8bit model delivers state‑of‑the‑art performance while maintaining a compact footprint thanks to its 8‑bit quantization. With 35 billion parameters and optimized architecture, it achieves high accuracy on a wide range of NLP tasks. Built on the MLX framework, the model benefits from enhanced hardware compatibility and reduced memory usage. Its inference latency is notably low, enabling real‑time applications in production environments. The following table summarizes the key technical specifications that differentiate this model from earlier versions. Users can expect consistent results across diverse benchmarks, making it a reliable choice for both research and commercial deployment.

Parameter Value
Model Name Qwen3.6-35B-A3B-MLX-8bit
Parameters 35B
Quantization 8-bit
Framework MLX
Context Length 8K tokens
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