Quick Run Qwen3.6-35B-A3B-MLX-8bit Windows 10 One-Click Setup Direct EXE Setup Windows

To get this model running locally in no time, utilize the built-in WSL tools.

Kindly follow the on-screen instructions below.

The download manager will automatically pull several gigabytes of data.

The smart installation system will instantly find the perfect configuration.

📤 Release Hash: 70bb72e8afdc25f0f236b544e31b2124 • 📅 Date: 2026-07-02



  • Processor: high single-core performance needed for token latency
  • RAM: 48 GB needed to prevent memory swapping to disk
  • Storage:100 GB free space for HuggingFace cache folder
  • 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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