How to Autostart Qwen3.5-9B-MLX-4bit Zero Config Direct EXE Setup

How to Autostart Qwen3.5-9B-MLX-4bit Zero Config Direct EXE Setup

Using the Windows Package Manager is the quickest way to trigger the setup.

Just follow the guidelines provided below.

The setup auto-streams the model assets (expect a multi-GB download).

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

đź–ą HASH-SUM: abeb16b33e16c02a1b0ba52596f682c9 | đź“… Updated on: 2026-07-05



  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: 48 GB needed to prevent memory swapping to disk
  • Disk Space: 80 GB NVMe SSD required for fast model weights loading
  • GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

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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