Run Qwen3.5-9B-MLX-4bit Windows 11 Zero Config

Run Qwen3.5-9B-MLX-4bit Windows 11 Zero Config

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

Go through the configuration rules shown below.

The tool automatically synchronizes and downloads the model database.

To guarantee smooth performance, the process auto-selects the best options.

🔍 Hash-sum: adb50d1ea6bdd91d78c3184fed43bd32 | 🕓 Last update: 2026-07-02



  • Processor: 6-core 3.5 GHz minimum required
  • RAM: enough space for background apps and OS overhead
  • Disk Space:70 GB free space for full FP16 weights storage
  • Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration

The Qwen3.5-9B-MLX-4bit model delivers strong performance while maintaining a compact footprint thanks to its 9B parameters and 4-bit quantization. Its integration with the MLX framework enables optimized memory usage and accelerated inference on consumer‑grade hardware. The model supports an 8K token context window, allowing it to handle longer dialogues and complex reasoning tasks. Benchmarks show it achieves competitive perplexity scores compared to larger models, making it ideal for deployment in resource‑constrained environments. Additionally, the MLX optimizations reduce latency, providing smooth real‑time responses even on laptops and edge devices.

Parameter Value
Model Name Qwen3.5-9B-MLX-4bit
Parameters 9B
Quantization 4‑bit
Framework MLX
Context Length 8K tokens
Inference Speed >100 tokens/s (GPU)
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