Phinance-Phi-3.5-mini-instruct-finance-v0.2 is a fine-tuned mini language model specifically designed for financial tasks, instruction following, and multi-turn conversations. It leverages the Phinance Dataset to excel in finance-specific reasoning, question answering, and lightweight expert applications. The model is based on the phi-3.5-mini architecture, optimized for instruction-based workflows in the financial domain. — Finance-Focused Reasoning: Handles complex tasks like portfolio analysis, market trends, and financial question answering. — Instruction Following: Trained for fine-grained instruction-based tasks within the financial sector. — Multi-Turn Conversations: Designed to handle context-aware dialogue with a focus on finance. — RAG-Compatible: Supports retrieval-augmented generation (RAG) through the use of data tokens () to integrate external data seamlessly. — Lightweight Architecture: Efficient for deployment on resource-constrained environments while maintaining robust performance. The model was fine-tuned on the Phinance Dataset, a curated subset of financial content. The dataset includes multi-turn conversations formatted in PHI style, with financial relevance…
Модальности:
Генерация текста
Области применения:
Диалог / чат RAG (поиск + генерация) Следование инструкциям
Задача: Генерация текста
Автор: Josephgflowers
Теги: phi3, financial, fine-tuning, instruction-tuning, mini-LLM, finance-dataset, multi-turn-conversations, RAG
Лайков: 3 | Загрузок: 37
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
