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Implement a LoRA linear layer by hand, then decide whether to merge the adapter into a BF16 base and into an FP8 base.

The forward is three lines and still has a trap in the parenthesization. The merge is one line, and on a quantized base it can erase most of the fine-tune without an error message. The answer writes both, then measures what survives the rounding.

Updated Oct 2026 · Worked answers on inference mechanisms, with calculations, implementation details, and follow-up questions.

The forward is three lines and still has a trap in the parenthesization. The merge is one line, and on a quantized base it can erase most of the fine-tune without an error message. The answer writes both, then measures what survives the rounding.

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