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--- |
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license: cc-by-4.0 |
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language: |
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- en |
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base_model: |
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- meta-llama/Llama-3.1-8B-Instruct |
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tags: |
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- ai |
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- llm |
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- Model |
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- Law |
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- indian |
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- law |
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- Legel |
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- asstiance |
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--- |
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βοΈ ZAVIA β Indian Legal AI Assistant |
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ZAVIA is a domain-specialized Large Language Model (LLM) designed to provide accurate, structured, and responsible explanations of Indian law. |
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It is fine-tuned specifically for Indian legal statutes, constitutional provisions, and legal concepts, with a strong focus on clarity and correctness. |
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π§ Legal clarity, powered by AI. |
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π What is ZAVIA? |
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ZAVIA is an AI-powered Indian legal assistant built to help students, researchers, and developers understand Indian laws in a simplified yet professional manner. |
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It focuses on: |
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Explaining legal provisions clearly |
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Citing relevant sections and acts |
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Maintaining a professional legal tone |
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Avoiding hallucinated or speculative answers |
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Clearly stating limitations where legal advice is required |
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β οΈ ZAVIA does NOT replace a qualified lawyer and is intended strictly for educational and research purposes. |
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π Legal Domains Covered |
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ZAVIA is optimized for the following Indian legal areas: |
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Constitution of India |
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Indian Penal Code (IPC) |
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Criminal Procedure Code (CrPC) |
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Civil Procedure Code (CPC) |
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Indian Contract Act, 1872 |
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Transfer of Property Act, 1882 |
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Bharatiya Nyaya Sanhita (BNS) |
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Core legal terminology and procedural concepts |
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Case-law interpretation (high-level, non-advisory) |
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π οΈ Technical Overview |
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Base Model: LLaMA-family (8B class) |
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Fine-Tuning Method: LoRA (Low-Rank Adaptation) |
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Merged Model: FP16 (full-precision merged) |
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Quantization: GGUF (Q4_K_M) |
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Inference Ready For: |
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Ollama |
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LM Studio |
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llama.cpp |
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Local CPU/GPU setups |
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Optimized for local deployment with a balance between performance and accuracy. |
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π Usage |
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πΉ Using with Ollama (Recommended) |
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ollama create zavia -f Modelfile |
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ollama run zavia |
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Example prompt: |
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Explain IPC Section 420 in simple terms. |
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πΉ Using with llama.cpp |
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./llama-cli -m zavia_q4_k_m.gguf -p "Explain Article 21 of the Indian Constitution" |
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πΉ Using with LM Studio |
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Open LM Studio |
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Place the .gguf file inside the models directory |
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Load the model |
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Start chatting |
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Note: If the model does not auto-detect, ensure it is a valid GGUF file and refresh the model list. |
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π¦ Model Files |
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Typical files included: |
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zavia_q4_k_m.gguf β quantized inference model |
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Modelfile β Ollama configuration |
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README.md β documentation |
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β οΈ Disclaimer (Important) |
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ZAVIA provides informational and educational content only. |
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β Not legal advice |
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β Not a substitute for a lawyer |
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β Not guaranteed for real-world legal decisions |
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Always consult a qualified legal professional for case-specific advice. |
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π§ͺ Known Limitations |
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May not reflect very recent judgments or amendments |
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Cannot provide case-specific legal advice |
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Responses depend on prompt clarity |
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π§βπ» Creator |
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Mubashir Khan |
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AI & Legal-Tech Enthusiast |
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Focused on LLM fine-tuning, legal AI, and local model deployment. |
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π License |
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This model is released for research and educational use. |
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Follow the original base modelβs license and applicable legal guidelines. |
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π Why ZAVIA? |
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Built specifically for Indian law |
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Fine-tuned, not generic |
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Runs locally (privacy-friendly) |
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Open & portfolio-ready |
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Designed with responsible AI principles |
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--- |
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license: cc-by-4.0 |
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--- |