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Tinymistral 248M V3

Developed by M4-ai
TinyMistral-248M-v3 is a small language model with 248M parameters, currently still in training, having processed approximately 21 billion tokens.
Downloads 179
Release Time : 2/5/2024

Model Overview

This model is a compact language model focused on text generation tasks, suitable for various natural language processing scenarios.

Model Features

Compact and efficient
248M parameter scale, suitable for deployment in resource-limited environments
Multi-dataset training
Trained using multiple high-quality datasets including TM-DATA-V2 and TxT360
Continuous training
The model is still undergoing continuous training, with performance steadily improving

Model Capabilities

Text generation
Natural language understanding
Instruction following

Use Cases

Education
History knowledge Q&A
Answering questions about high school world history and US history
Achieved 29.11% accuracy in high school world history tests
Legal
Legal Q&A
Answering professional legal and international law questions
Achieved 21.49% accuracy in international law tests
Medical
Medical knowledge Q&A
Answering clinical knowledge and medical genetics questions
Achieved 30% accuracy in medical genetics tests
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