Llama 3 Smaug 8B
An optimized model based on Meta Llama 3, enhancing performance for multi-turn dialogue scenarios
Downloads 8,943
Release Time : 4/19/2024
Model Overview
Llama-3-Smaug-8B is a fine-tuned model based on Meta Llama 3-8B-Instruct, utilizing the Smaug optimization approach, focusing on improving performance in real-world multi-turn dialogue scenarios.
Model Features
Smaug Optimization Approach
Performance optimization for real-world multi-turn dialogue scenarios
High Performance
Outperforms the base model in MT-Bench tests
Multi-dataset Training
Utilizes various datasets including mathematical problem-solving, code feedback, and dialogue datasets
Model Capabilities
Multi-turn dialogue
Text generation
Mathematical problem solving
Code feedback
Use Cases
Dialogue Systems
Intelligent Assistant
Used to build intelligent assistants capable of multi-turn dialogues
Excellent performance in dialogue fluency and coherence
Education
Mathematical Problem Solving
Helps students solve mathematical problems
Programming
Code Feedback
Provides feedback and suggestions on programming code
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