manisunder246/chanakya-ai-ibc-finetuned

CaseCraft - Fine-Tuned Legal AI Model for IBC

🚀 Model Overview This fine-tuned LLM is built specifically for Indian legal research, focusing on Insolvency and Bankruptcy Code (IBC) cases, amendments, and legal terminology. The model enables accurate retrieval, summarization, and Q&A for legal professionals.

🔗 GitHub Repository: CaseCraft

📜 Training Data

• —IBC Act & Amendments: Fine-tuned on official laws, regulatory changes, and case-specific rulings.
• —Legal Glossary: An exhaustive set of legal terms and definitions for improved domain understanding.

📊 Fine-Tuning Details

• —Base Model: LLaMA 3.2 (8-bit quantized)
• —Fine-Tuning Method: LoRA (Low-Rank Adaptation)
• —Hardware Used: Apple Silicon (M3 Max, 40-core GPU)
• —Optimizations: Gradient checkpointing, adaptive chunking for long legal texts

🔧 Usage

To download the fine-tuned model from Hugging Face, use the following commands:

pip install huggingface_hub hf_transfer

export HF_HUB_ENABLE_HF_TRANSFER=1
huggingface-cli download --local-dir chanakya-ai-ibc-finetuned manisunder246/chanakya-ai-ibc-finetuned

📌 Future Enhancements

• —Expand dataset with High Court judgments
• —Improve retrieval mechanisms with custom legal embeddings
• —Deploy as an interactive legal assistant for practitioners

📢 Contributions & feedback welcome! Feel free to explore the repo and test the model. 🚀