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Llama 3 Refueled

Developed by refuelai
An instruction fine-tuned model based on Llama3-8B, trained on over 2,750 datasets, suitable for various NLP tasks
Downloads 794
Release Time : 5/3/2024

Model Overview

Llama-3-Refueled is an instruction fine-tuned model built on Llama3-8B-instruct, specifically optimized for data annotation tasks, including classification, reading comprehension, structured attribute extraction, and entity resolution.

Model Features

Multi-task Optimization
Optimized for over 2,750 NLP tasks, covering classification, reading comprehension, structured extraction, and more.
High-quality Training Data
Training data includes human-annotated datasets, synthetic datasets, and proprietary datasets, totaling over 4 billion tokens.
Open Source Availability
Open-sourced under the CC BY-NC 4.0 license, allowing the community to build upon it.

Model Capabilities

Text Classification
Reading Comprehension
Structured Information Extraction
Entity Resolution
Instruction Following

Use Cases

Data Annotation
Text Toxicity Detection
Determine if text content is toxic
Achieved 81.72% accuracy in benchmark tests
Entity Matching
Identify and match entities in text
Achieved 92.00% accuracy in benchmark tests
Information Extraction
Structured Data Extraction
Extract structured information from unstructured text
Achieved 84.28% accuracy in benchmark tests
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