Summary
A user on r/LocalLLaMA shared findings from quantizing Qwen3-Coder-Next, noting that its attention tensors are remarkably small (16-32MB per layer). This observation, also applicable to other 3.5 MoE models, suggests potential for more efficient local deployment and processing. The user provides high-quality attention tensor quantizations based on these experiments.
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