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Einstein V4 7B

Developed by Weyaxi
Einstein-v4-7B is a large language model fully fine-tuned on diverse scientific datasets based on Mistral-7B-v0.1, specializing in STEM field tasks
Downloads 43
Release Time : 2/22/2024

Model Overview

This model is an optimized version through multiple rounds of fine-tuning based on Mistral-7B, particularly enhanced in scientific fields such as physics, chemistry, biology, and mathematics, using high-quality training data including AI2 Reasoning Challenge and Camel science datasets

Model Features

Scientific domain optimization
Specially fine-tuned for STEM (Science, Technology, Engineering, Mathematics) tasks, with excellent performance in physics, chemistry, biology and other disciplines
Long-context support
Supports long-context processing of 8192 tokens, suitable for handling complex scientific problems and reasoning tasks
Multi-dataset fusion training
Integrates 20+ high-quality scientific datasets including AI2 Reasoning Challenge, Camel science series, ScienceQA, etc.
ChatML template support
Built-in ChatML dialogue template for easy construction of dialogue systems and assistant applications

Model Capabilities

Scientific question answering
Mathematical reasoning
Physics concept explanation
Chemical equation generation
Biology knowledge Q&A
Multi-turn dialogue
Complex reasoning

Use Cases

Education
Science tutoring assistant
Helps students understand STEM concepts and solve problems
Achieved 64.68% accuracy on AI2 Reasoning Challenge
Research assistant tool
Assists researchers in quickly obtaining scientific knowledge and reference materials
Evaluation
Scientific capability assessment
Evaluates students' knowledge and reasoning abilities in STEM fields
Achieved 62.31% accuracy on MMLU test
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