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Update README.md

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@@ -96,7 +96,7 @@ output = model.generate(**inputs, max_new_tokens=256)
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  print(tokenizer.decode(output[0], skip_special_tokens=True))
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  Limitations
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  While Activation-Guided Pruning significantly preserves bilingual skills, some edge-case linguistic nuances may show degradation compared to the 120B original. Users are encouraged to apply context-specific system prompts for best results in non-English languages.
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-
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  Citation & References
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  If you use this model or its pruning methodology, please cite:
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  print(tokenizer.decode(output[0], skip_special_tokens=True))
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  Limitations
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  While Activation-Guided Pruning significantly preserves bilingual skills, some edge-case linguistic nuances may show degradation compared to the 120B original. Users are encouraged to apply context-specific system prompts for best results in non-English languages.
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+ ```
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  Citation & References
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  If you use this model or its pruning methodology, please cite:
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