Phi-4-MedIT-10B-o1 is a specialized large language model pruned for efficiency and performance: — Pruned Model: — Derived from the phi-4 14B model, reduced to 10B parameters using the MKA2G pruning technique. — For details on the pruning methodology, see MedITSolutionsKurman/llama-pruning on GitHub. — Reasoning SFT: — Fine-tuned with a single epoch of reasoning-specific supervised fine-tuning (SFT) for optimized reasoning tasks. — ReasonFlow Integration: — Achieve advanced reasoning by leveraging the ReasonFlow framework, which uses Multi-Path Generation with Noise. — Monte-Carlo Tree Search (MCTS): — Use with MCTS-PyTorch to explore tree-based decision-making and inference. This model is ideal for: — Efficient, high-quality reasoning tasks. — Scenarios requiring enhanced performance in pruned environments. — Integration with advanced frameworks for reasoning or decision-making. Explore the possibilities with Phi-4-MedIT-10B-o1 and push the boundaries of efficient AI reasoning! phi-4 has adopted a robust safety post-training approach. This approach leverages a variety of both open-source and in-house generated synthetic datasets. The overall technique employed to do the safety…
Модальности:
Генерация текста
Области применения:
Генерация кода Математика Диалог / чат
Задача: Генерация текста
Автор: mkurman
Теги: gguf, llama, phi, nlp, math, code, chat, conversational
Лайков: 4 | Загрузок: 42
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
