Across five LLMs and four quantization methods, 4-bit compression mostly preserves translation quality for high-resource languages, while 2-bit compression disproportionately degrades low-resource and Indic languages, with GGUF degrading least.
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The Uneven Impact of Post-Training Quantization in Machine Translation
Across five LLMs and four quantization methods, 4-bit compression mostly preserves translation quality for high-resource languages, while 2-bit compression disproportionately degrades low-resource and Indic languages, with GGUF degrading least.