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This paper introduces Language-Conditional Dequantization (LCD), a post-hoc method that adds per-language low-rank LoRA corrections to quantized LLMs to recover multilingual performance lost during English-calibrated quantization, showing significant perplexity and accuracy improvements on non-English languages.