 This is quantized version of SciPhi/Triplex created using llama.cpp Knowledge graphs, like Microsoft’s Graph RAG, enhance RAG methods but are expensive to build. Triplex offers a 98% cost reduction for knowledge graph creation, outperforming GPT-4 at 1/60th the cost and enabling local graph building with SciPhi’s R2R. Triplex is a finetuned version of Phi3-3.8B for creating knowledge graphs from unstructured data developed by SciPhi.AI. It works by extracting triplets — simple statements consisting of a subject, predicate, and object — from text or other data sources. — Blog: https://www.sciphi.ai/blog/triplex — Demo: kg.sciphi.ai — Cookbook: https://r2r-docs.sciphi.ai/cookbooks/knowledge-graph — Python:
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: QuantFactory
Теги: gguf, endpoints_compatible, conversational
Лайков: 3 | Загрузок: 1,081
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
