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A suite of high-quality, open-source models developed for the Tunga Agricultural Chatbot in collaboration with Rwanda C4IR, KiNLP, and MINAGRI.
Currently the highest-quality synthetic voice for Kinyarwanda, enabling natural-sounding interactions for voice-based applications.
View ModelThe first Kinyarwanda embedding and information retrieval model. Essential for building RAG-based chatbots like Tunga.
View ModelA foundational BERT-style model serving as the backbone for various Kinyarwanda NLP tasks, from classification to entity recognition.
View ModelThe curated datasets used to train our foundational models, released to support the growth of the Kinyarwanda AI ecosystem.
A comprehensive dataset designed for training high-fidelity Text-to-Speech (TTS) and Speech-to-Text (STT) models in Kinyarwanda.
Access DataThe specialized dataset used to train the KinyaColBERT model, optimized for semantic search and RAG applications.
Access Data