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+# Model Card: Chatbot Caca Retrieval
+
+## Model Description
+
+Lightweight retrieval-based QA system untuk Bahasa Indonesia.
+
+### Training Data
+
+- **Source:** datasets-caca-3500
+- **Size:** 3,500 conversational QA pairs
+- **Language:** Indonesian
+- **Format:** User-Assistant conversations
+
+### Architecture
+
+- **Algorithm:** Hybrid scoring system
+  - BM25 (40% weight) - keyword matching
+  - TF-IDF + Cosine Similarity (50% weight) - semantic matching
+  - Fuzzy String Matching (10% weight) - typo tolerance
+
+### Performance
+
+| Metric | Value |
+|--------|-------|
+| Model Size | 2.69 MB |
+| Query Latency | <10 ms |
+| Memory Usage | ~5 MB RAM |
+| Paraphrase Accuracy | High |
+
+### Limitations
+
+- Only works for questions in dataset or similar paraphrases
+- No generative capability
+- Limited to Indonesian language
+
+### Ethical Considerations
+
+- Responses reflect training data (datasets-caca-3500)
+- Personality may include sarcasm/humor
+- Not suitable for critical applications
+
+### License
+
+MIT License