Qwen3.5-9B-MLX-4bit Quantized GGUF 5-Minute Setup

Qwen3.5-9B-MLX-4bit Quantized GGUF 5-Minute Setup

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

Check out the detailed setup guide below to begin.

The installer auto-downloads and deploys the entire model pack.

The program scans your VRAM and RAM to seamlessly apply optimal configurations.

📄 Hash Value: 66564afa381e7965eb46fbbdb489a6f2 | 📆 Update: 2026-07-08



  • Processor: 6-core 3.5 GHz minimum required
  • RAM: required: 16 GB absolute minimum for small models
  • Storage:100 GB free space for HuggingFace cache folder
  • Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

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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