openpql/nishka-gkc-phi3-merged

NISHKA GKC: Governance Knowledge Model

This model, developed by openpql, is a specialized language model built upon the Phi-3-mini-4k-instruct base architecture. It features 3.8 billion parameters and has been extensively fine-tuned using a LoRA adapter, which is now merged into the full model weights, eliminating the need for separate adapter loading.

Key Capabilities

• Specialized Governance Knowledge: Trained on a Governance Knowledge Corpus (GKC) comprising 1.12 million tokens of regulatory content.
• Compliance Framework Coverage: Incorporates data from 15 distinct compliance frameworks, providing a broad understanding of regulatory landscapes.
• Efficient Deployment: Ready for deployment with popular inference servers like vLLM and TGI, supporting float16 for optimized performance.

Good For

• Regulatory Analysis: Understanding and interpreting complex regulatory documents.
• Compliance Automation: Developing applications that require deep knowledge of various compliance standards.
• Information Extraction: Extracting specific details from governance-related texts.

This model is designed for developers and organizations needing a robust solution for tasks centered around regulatory compliance and governance knowledge processing.