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Llama 2 7b Langchain Chat GGUF
A dialogue system developed based on the Llama-2-7B-chat model, supporting multilingual interaction and optimized for LangChain application scenarios
Large Language Model Supports Multiple Languages#Multilingual Dialogue#LLaMA2 Fine-tuning#LangChain Optimization
Downloads 170
Release Time : 9/27/2023
Model Overview
This is a dialogue system developed based on Meta's Llama-2-7B-chat model, utilizing QLoRA fine-tuning technology, with training data from the oasst1-langchain-llama-2-formatted dataset, making it particularly suitable for LangChain application scenarios
Model Features
Multilingual Support
Supports dialogue interaction in 35 languages
LangChain Optimization
Specifically fine-tuned and optimized for LangChain application scenarios
QLoRA Fine-tuning
Utilizes QLoRA efficient fine-tuning technology, maintaining model performance while reducing resource requirements
Model Capabilities
Multilingual Dialogue
Context Understanding
Text Generation
Question-Answering System
Use Cases
Dialogue System
Multilingual Customer Service Bot
Build an intelligent customer service system supporting multiple languages
Can provide customer service in 35 languages
LangChain Application Integration
Serves as the core dialogue component for LangChain applications
The optimized model is more suitable for the LangChain framework
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