Qwen3.6-35B-A3B-MLX-4bit Locally via Ollama 2

Qwen3.6-35B-A3B-MLX-4bit Locally via Ollama 2

🔐 Hash sum: a8b87ced83541f788bb15d87ec72f06a | 📅 Last update: 2026-07-21



  • CPU: AVX2/AVX-512 instruction set required for llama.cpp
  • RAM: high-speed DDR5 memory preferred for CPU offloading
  • Disk: high-speed SSD 120 GB to cache model layers
  • GPU: modern architecture (Ada Lovelace / Ampere minimum)

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Key Features of Our Open-Source Language Model

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    * 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 35 B
    Architecture A3B
    Quantization 4-bit MLX
    Context Length 8K tokens

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