Qwen3.5-9B-MLX-4bit on Your PC One-Click Setup

Qwen3.5-9B-MLX-4bit on Your PC One-Click Setup

Using a native PowerShell script is the absolute quickest way to install this model.

Please follow the instructions listed below to get started.

An automated background process downloads all required large-scale files.

The setup file includes a feature that instantly optimizes all configurations.

🔍 Hash-sum: ac7807535f71b425e9a3ff4a047c84cd | 🕓 Last update: 2026-06-30



  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: 32 GB or higher for smooth 32k context lengths
  • Disk Space: 80 GB NVMe SSD required for fast model weights loading
  • GPU: modern architecture (Ada Lovelace / Ampere minimum)

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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