Qwen3.6-35B-A3B-MLX-8bit

A standalone PowerShell module provides the fastest route to local installation.

Review and follow the instructions below.

1-click setup: the app automatically fetches the large weight files.

During setup, the script automatically determines and applies the best settings.

📎 HASH: 48412b6631f20bd40e56e005496c6fb3 | Updated: 2026-07-02

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Processor: 4.0 GHz+ boost clock recommended for CPU inference
RAM: required: 16 GB absolute minimum for small models
Storage: extra room for future model updates and datasets
GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

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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Qwen3.6-35B-A3B-MLX-8bit

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