drvivekpoojary/Open-GVP-Qwen2.5-7B-Instruct
drvivekpoojary/Open-GVP-Qwen2.5-7B-Instruct is a 7.6 billion parameter Qwen2.5-7B model fine-tuned by drvivekpoojary, specialized in European Medicines Agency (EMA) Good Pharmacovigilance Practices (GVP) guidelines. It was trained on approximately 15,000 high-quality question-answer pairs covering all GVP Modules and Addendums. This model excels at regulatory interpretation and pharmacovigilance operations, particularly when used in a Retrieval-Augmented Generation (RAG) pipeline with official GVP documents, and is available in Safetensors and GGUF formats.
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Open-GVP-Qwen2.5-7B-Instruct: Specialized Pharmacovigilance Assistant
This model, developed by drvivekpoojary, is a domain-adapted version of Qwen2.5-7B-Instruct, specifically fine-tuned for Good Pharmacovigilance Practices (GVP) guidelines issued by the European Medicines Agency (EMA). It leverages a curated dataset of approximately 15,000 high-quality question-answer pairs derived from official GVP documents, covering all GVP Modules and related Addendums.
Key Capabilities
- GVP Expertise: Provides detailed answers and interpretations of EMA GVP guidelines, including ICSR management, signal management, risk management systems, and PSUR/PBRER.
- RAG Optimization: Designed to perform best when integrated into a Retrieval-Augmented Generation (RAG) pipeline alongside original GVP PDF documents.
- Flexible Deployment: Available in both Safetensors (for Transformers, vLLM) and various GGUF quantized formats (BF16, Q8_0, Q6_K) for efficient local and low-resource deployment.
- Internal Support: Ideal for internal regulatory chatbots, staff training, and professional support in pharmacovigilance operations.
Good For
- GVP Knowledge Assistant: Answering specific questions on GVP modules, definitions, and requirements.
- PV Staff Training & Onboarding: Supporting the education of new pharmacovigilance team members.
- RAG Pipeline Integration: Serving as the generation component in a RAG system with official GVP PDFs.
- Offline & Edge Environments: Deploying locally on laptops and workstations, especially using GGUF formats.
Important: This model is intended for research and internal professional support. It should not be used for standalone regulatory decision-making or to replace qualified pharmacovigilance professionals without expert review.