Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled 4bit MLX Quantized by BeastCode A high performance 4 bit MLX quantization of Jackrong/Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled. Specifically optimized for Apple Silicon (M series chips) to provide deep, agentic level reasoning locally. The original BF16 weights are 55.6 GB . This conversion reduces the footprint to 14 GB , making it runnable on any Mac with 24 GB+ of unified memory with room to spare for large context windows. 🧠 Why This Model? Most local LLMs are "reactive" — they start generating a response before they've fully mapped out the logic. This model is deliberative . Distilled from state of the art Claude 4.6 Opus reasoning trajectories, it uses an advanced Chain of Thought (CoT) scaffold. Before providing its final answer, it enters an internal state where it: Deconstructs complex, multi layered prompts into manageable sub tasks Simulates different solution paths and self corrects logic errors before you see them Reduces redundancy by adopting Claude's structured thinking pattern rather than the looping often seen in base reasoning models This makes it the premier choice for technical planning, complex logic puzz…
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