— Model Name: DeepSeek-R1-Medical-COT — Developer: Ashadullah Danish (ashad846004) 👨💻 — Repository: Hugging Face Model Hub 🌐 — Framework: PyTorch 🔥 — Base Model: DeepSeek-R1 🏗️ — Fine-tuning: Chain-of-Thought (CoT) fine-tuning for medical reasoning tasks 🧩 — License: Apache 2.0 (or specify your preferred license) 📜 — Primary Use: Medical reasoning, diagnosis, and treatment recommendation tasks. 💡 — Target Audience: Researchers, educators, and developers working in the healthcare domain. 👩🔬👨⚕️ — Limitations: This model is not a substitute for professional medical advice. Always consult a qualified healthcare provider for clinical decisions. ⚠️ — Evaluation Metrics: — Accuracy: 85% on MedQA test set. 🎯 — F1 Score: 0.82 on PubMedQA. 📊 — Reasoning Accuracy: 78% on synthetic CoT tasks. 🧠 — Benchmarks: Outperforms baseline models in medical reasoning tasks by 10-15%. 🏆 — Ethical Concerns: The model may generate incorrect or misleading medical information. Always verify outputs with a qualified professional. 🚨 — Bias: The model may reflect biases present in the training data, such as gender, racial, or socioeconomic biases. ⚖️ — Scope: The model is not trained for all medical…
Модальности:
Генерация текста
Области применения:
Диалог / чат Логика и рассуждение
Задача: Генерация текста
Автор: ashad846004
Теги: text-generation-inference, unsloth, llama, trl, sft, conversational, en, endpoints_compatible
Лайков: 4 | Загрузок: 0
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
