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Koreanlm 3B
KoreanLM is an open-source project dedicated to developing Korean language models, aiming to address the scarcity of Korean learning resources and inefficient tokenization processing.
Large Language Model
Transformers Supports Multiple Languages#Korean optimization#Efficient tokenization#Multilingual generation
Transformers Downloads 33
Release Time : 8/21/2023
Model Overview
The KoreanLM project focuses on developing language models specifically for Korean, integrating Korean grammar, vocabulary, and cultural characteristics to build intelligent models that can more accurately understand and generate Korean.
Model Features
Korean optimization
Optimized for Korean grammar, vocabulary, and cultural characteristics to enhance Korean understanding and generation capabilities.
Efficient tokenization
Introduces new tokenization techniques for Korean text to improve model processing efficiency and analysis accuracy.
Parameter optimization
Enhances adaptability for natural language processing tasks by optimizing the parameter scale of Korean models.
Model Capabilities
Korean text generation
English text generation
Natural language understanding
Use Cases
Language learning
Korean learning assistance
Helps learners understand and generate Korean text.
Improves Korean learning efficiency
Enterprise applications
Korean natural language processing
Provides businesses with Korean text processing and analysis capabilities.
Improves Korean data processing efficiency
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