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Inkubalm 0.4B

Developed by lelapa
A small language model for low-resource African languages, supporting five African languages and English/French bilingual
Downloads 11.04k
Release Time : 5/11/2024

Model Overview

A 400M-parameter small language model trained from scratch, specifically optimized for low-resource African languages like Zulu and Yoruba, adopting a lightweight architecture similar to MobileLLM

Model Features

African Language Specialization
Specifically trained for five low-resource African languages, containing 1.9 billion African language tokens
Lightweight & Efficient Architecture
Adopts MobileLLM-like lightweight design with only 400M parameters for multilingual processing
Multilingual Mixed Support
Capable of handling mixed input/output between indigenous African languages and English/French

Model Capabilities

African language text generation
Multilingual mixed processing
Basic Q&A response
Cross-language content creation

Use Cases

Linguistic Research
African Language Resource Development
Provides foundational NLP capabilities for low-resource African languages
Establishes benchmark processing capabilities for five African languages
Educational Applications
Multilingual Learning Assistance
Supports learning transitions between African and European languages
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