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. 🚀
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meta-llama/Llama-3.2-11B-Vision-Instruct