Hugging Face Overview
XformAI-india/Qwen3-1.7B-medicaldataset is a specialized 1.7 billion parameter language model developed by XformAI-India. It is a fine-tuned version of the Qwen3-1.7B base model, specifically adapted for medical applications through supervised fine-tuning (SFT) on the FreedomIntelligence/medical-o1-reasoning-SFT dataset. The model utilizes a Transformer Decoder architecture and supports bfloat16/float16 precision, with a notable context length of 40960 tokens.
Key Capabilities
- Medical Question Answering: Designed to provide responses to healthcare-related queries.
- Clinical Documentation: Capable of assisting with summarization of patient records.
- Medical Reasoning: Supports reasoning tasks relevant to clinical scenarios and triage.
- Healthcare Chatbot Integration: Can be integrated into chatbots for non-diagnostic healthcare support.
Intended Use & Limitations
This model is primarily intended for research and educational purposes within the medical domain. It is crucial to understand that this model is not for clinical use and should not replace professional medical advice, diagnosis, or treatment. It may produce incorrect or hallucinated medical information and is trained on publicly available or synthetic data, not real patient data. Therefore, it is unsuitable for emergency or high-stakes medical settings.