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Create medicalchatbot_sample_dataset.json
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Sample Dataset
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README.md2
Verified signatureMedicalChatBot is a state-of-the-art, domain-specialized chatbot fine-tuned on high-quality medical dialogue and question-answer datasets using LoRA (Low-Rank Adaptation) on top of the Mistral-7B-Instruct large language model. It is designed to provide accurate, natural language responses to medical and health-related queries for educational, research, and health literacy use cases. 🚀 Key Features Foundation Model: Built on mistralai/Mistral-7B-Instruct, a powerful open-weight instruction-tuned LLM with strong zero-shot reasoning capabilities. LoRA Fine-Tuning: Efficient fine-tuning method using PEFT that adapts only a small number of trainable parameters (~7 million), enabling training even on low-resource environments like Google Colab. Domain Data: Trained on kberta2014/medical-chat-dataset, a curated dataset composed of patient-symptom-dialogs, condition-based queries, and verified health questions. Optimized for Inference: Lightweight, fast, and easily deployable in inference pi…534227f -
RREADME.md
Verified signatureMedicalChatBot is a state-of-the-art, domain-specialized chatbot fine-tuned on high-quality medical dialogue and question-answer datasets using LoRA (Low-Rank Adaptation) on top of the Mistral-7B-Instruct large language model. It is designed to provide accurate, natural language responses to medical and health-related queries for educational, research, and health literacy use cases. 🚀 Key Features Foundation Model: Built on mistralai/Mistral-7B-Instruct, a powerful open-weight instruction-tuned LLM with strong zero-shot reasoning capabilities. LoRA Fine-Tuning: Efficient fine-tuning method using PEFT that adapts only a small number of trainable parameters (~7 million), enabling training even on low-resource environments like Google Colab. Domain Data: Trained on kberta2014/medical-chat-dataset, a curated dataset composed of patient-symptom-dialogs, condition-based queries, and verified health questions. Optimized for Inference: Lightweight, fast, and easily deployable in inference pi…b8d45d8 -
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