Create README.md

README.md

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+---
+base_model: Qwen/Qwen2.5-VL-3B-Instruct
+language:
+- fil
+- en
+license: apache-2.0
+tags:
+- qwen2.5-vl
+- education
+- filipino
+- fine-tuned
+- gguf
+---
+
+# KoaliPi SLM — Qwen2.5-VL-3B Fine-tune
+
+KoaliPi SLM is a fine-tuned vision-language model built on top of
+[Qwen2.5-VL-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct),
+trained for AI-powered STEM study assistance for Filipino students
+(high school and college level).
+
+## Files
+| File | Size | Description |
+|------|------|-------------|
+| `koalipi-slm-q4km.gguf` | ~1.9 GB | Q4_K_M quantized — recommended for on-device use |
+| `koalipi-slm.gguf` | 3.29 GB | Q8_0 quantized — higher precision |
+
+## Training Details
+- **Base model:** Qwen/Qwen2.5-VL-3B-Instruct
+- **Method:** LoRA fine-tuning via Unsloth
+- **Training steps:** 30
+- **Quantization:** 16-bit during training, exported to Q4_K_M via llama.cpp
+
+## Training Data
+The model was fine-tuned on a custom KoaliPi dataset covering:
+- Handwriting parsing (IAM handwriting dataset + custom Filipino notes)
+- Filipino Q&A (Taglish STEM explanations)
+- English Q&A (STEM concepts)
+- MCQ generation
+- Practice problem generation
+- Study plan generation
+
+## Instruction Format
+No system prompt needed. Uses ChatML format:
+
+**Document parsing:**