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@@ -43,4 +43,28 @@ The model was fine-tuned on a custom KoaliPi dataset covering:
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  ## Instruction Format
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  No system prompt needed. Uses ChatML format:
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- **Document parsing:**
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Instruction Format
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  No system prompt needed. Uses ChatML format:
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+ **Document parsing:**
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+
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+ Parse this document. Return ONLY a valid JSON with these fields:
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+
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+ topics, difficulty, subject, key_concepts, has_equations, equations, summary.
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+
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+ No explanation, just JSON.
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+
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+ **MCQ generation:**
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+ Generate 3 multiple choice questions about {topic}.
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+
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+ Return ONLY valid JSON array.
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+
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+ **Filipino Q&A:**
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+ {question in Filipino or English}
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+
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+ ## Intended Use
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+ - Filipino high school and college STEM students
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+ - On-device inference via llama.rn
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+ - Part of the KoaliPi AI study app
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+
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+ ## Limitations
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+ - mmproj (vision encoder) not yet exportable via llama.cpp for Qwen2.5-VL
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+ - Image/VL features require mmproj — text features fully functional
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+ - 30 training steps — suitable for demo, expand dataset for production