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CAMEL 33B Combined Data
CAMEL-33B is a large language model fine-tuned on LLaMA-33B, integrating CAMEL framework dialogue data, ShareGPT public dialogues, and Alpaca instruction data, excelling in multi-turn conversations and instruction comprehension.
Downloads 97
Release Time : 6/17/2023
Model Overview
This model is a chat-oriented large language model obtained by fine-tuning LLaMA-33B, supporting complex dialogue interactions and instruction execution, suitable for scenarios like chat assistants and knowledge Q&A.
Model Features
Multi-source Data Fusion
Integrates 229K dialogue pairs from CAMEL framework, 100K public dialogues from ShareGPT, and 52K instructions from Alpaca to enhance model diversity
Dialogue-optimized Architecture
Adopts Vicuna dialogue template supporting multi-turn interactions between users and AI assistants, with each message ending with </s>
Balanced Performance
Achieves 64.2 average score in EleutherAI evaluation system, with outstanding performance in commonsense reasoning (HellaSwag 83.83) and language understanding (MMLU 58.98)
Model Capabilities
Multi-turn dialogue generation
Instruction understanding and execution
Commonsense reasoning
Knowledge Q&A
Text completion
Use Cases
Intelligent Assistants
Chatbot
Used to build AI assistants capable of natural multi-turn conversations
Performs well in open LLM leaderboard dialogue tasks
Educational Applications
Knowledge Q&A System
Answers various knowledge-based questions from users
Demonstrates strong knowledge capabilities in ARC Challenge (62.97) and MMLU (58.98) evaluations
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