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chanakya-ai-ibc-finetuned

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metadata
license: mit
language:
  - en
base_model:
  - mlx-community/Llama-3.2-11B-Vision-Instruct-8bit
library_name: mlx

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. 🚀