Qwen3.6-35B-A3B-MLX-8bit on Copilot+ PC with Native FP4

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Qwen3.6-35B-A3B-MLX-8bit on Copilot+ PC with Native FP4

Using Docker is the absolute quickest way to install this model on your local machine.

Please follow the instructions listed below to get started.

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

To guarantee smooth performance, the installation process auto-selects the best possible options for your PC.

📎 HASH: 4df5b8bd36e7e3cae436464b51f88c68 | Updated: 2026-06-22



  • Processor: next-gen chip for heavy context processing
  • RAM: fast 5600MHz+ required to avoid memory bottlenecks
  • Disk Space: required: fast PCIe 4.0 drive for instant boots
  • GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

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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