How to Setup Qwen3.6-35B-A3B-MLX-4bit Quantized GGUF

اندازه فونت :
2026/07/23

How to Setup Qwen3.6-35B-A3B-MLX-4bit Quantized GGUF

📤 Release Hash: 5b0933127b7b361b90441a97e1de6175 • 📅 Date: 2026-07-17
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  • Processor: 6-core 3.5 GHz minimum required
  • RAM: required: 16 GB absolute minimum for small models
  • Disk Space: 80 GB NVMe SSD required for fast model weights loading
  • Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration

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Key Features of Our Open-Source Language Model

۱٫

    * Compact footprint for efficient inference on consumer-grade hardware * Strong performance in both reasoning and generation tasks * Multi-language understanding support * Seamless integration with the MLX ecosystem for optimized deployment

    Technical Specifications: A Closer Look

    Model Name Qwen3.6-35B-A3B-MLX-4bit
    Parameters ۳۵ B
    Architecture A3B
    Quantization ۴-bit MLX
    Context Length ۸K tokens

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    Our open-source language model offers a unique combination of high capacity and low-bit quantization, making it an attractive choice for developers seeking powerful yet resource-friendly AI solutions. With its compact footprint and strong performance in both reasoning and generation tasks, this model is well-suited for a wide range of applications.

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