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Sciphi Self RAG Mistral 7B 32k

Developed by SciPhi
A large language model fine-tuned based on Mistral-7B-v0.1, incorporating Self-RAG technology and supporting a 32k context length
Downloads 147
Release Time : 10/27/2023

Model Overview

This model enhances retrieval-augmented generation capabilities through Self-RAG technology, suitable for dialogue and Q&A scenarios requiring external knowledge integration

Model Features

Self-RAG Enhancement
Incorporates Self-RAG technology to automatically retrieve, generate, and evaluate content
32k Long Context Support
Supports context windows up to 32k, ideal for processing long documents and complex dialogues
Instruction Fine-Tuning Optimization
Fine-tuned on various instruction datasets to optimize dialogue and Q&A capabilities

Model Capabilities

Retrieval-Augmented Generation
Long Text Processing
Multi-turn Dialogue
Knowledge Q&A

Use Cases

Intelligent Assistant
Knowledge-Enhanced Dialogue
Provides more accurate answers by integrating external knowledge bases
Improves answer accuracy and informativeness
Education
Learning Assistance
Helps students solve complex problems and provides relevant knowledge
Enhances learning outcomes and depth of understanding
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