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The aim is to evaluate the performance of the Qwen2.5-7B model fine-tuned for bilingual tasks.

July 26, 2026Open Access

SAIF (سيف) — Comprehensive Technical Report | Hayula Research

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The aim is to evaluate the performance of the Qwen2.5-7B model fine-tuned for bilingual tasks.
Fine-tuned model on 55,000 human instructions
Utilized Arabic and English languages during the training
Measured final loss at 1.434
Achieved a final loss of 1.434, indicating model accuracy
Demonstrated improvements in bilingual response accuracy for user instructions

Technical report on the fine-tuning of Qwen2.5-7B model for Arabic and English instructions, suggesting improvements in bilingual capabilities.

Base Model: Qwen2.5-7B (Averroes-Q-Instruct variant — Arabic/English bilingual fine-tune, trained on 55k human instructions, final loss 1.434)

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Yahya Saqban (2026) studied this question.

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Technical report on the fine-tuning of Qwen2.5-7B model for Arabic and English instructions, suggesting improvements in bilingual capabilities.

Base Model: Qwen2.5-7B (Averroes-Q-Instruct variant — Arabic/English bilingual fine-tune, trained on 55k human instructions, final loss 1.434)