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Openai/6939b23e-87cc-8001-bdd9-9546d1143ce9
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==== : ==== * For tasks that need finesse, clarity, and multi-step reasoning, heavier quantization can hurt. * For rough reasoning or large context processing, even 8-bit or 4-bit quantization can work surprisingly well. ===== - You’re right: quantization is a trade-off between precision and efficiency. ===== * Think of it as blurring the fine detail of neural pathways — small blur = mostly fine, big blur = potential errors. If you want, I can make a visual metaphor showing neurons with “thick vs thin dendrites” for 32-bit vs 8-bit vs 4-bit, so you can literally see how precision loss looks in the network. Do you want me to do that?
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