This is a fine-tuned version of the LLaMA 3 8B model. The model is fine-tuned on medical conversations to assist healthcare professionals and users in understanding medical-related queries. It’s designed for natural language understanding and generation, focusing on medical advice and diagnostics. — Base Model: LLaMA 3 8B — Fine-Tuned On: Medical QA dataset (or specify other datasets) — Model Type: Causal Language Model (CLM) This model is intended for generating conversational responses related to medical diagnostics, symptom analysis, or any medical-related inquiry. It is designed to assist in providing informative and preliminary medical guidance based on the fine-tuned datasets. — Medical chatbots. — Healthcare consultation apps. — Symptom analysis. — Not a replacement for professional medical advice: The model is trained on limited datasets and should not be used as a standalone diagnostic tool. — Language Bias: It may show biases based on the data it was trained on. «`python from transformers import AutoModelForCausalLM, AutoTokenizer model = AutoModelForCausalLM.frompretrained(«abhiyanta/llama-chatdoctor») tokenizer =…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: abhiyanta
Теги: llama, conversational, en, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 14
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
