Projects & Models
Open-source NLP models and datasets for Kinyarwanda and East African languages, built by the MbazaNLP community and freely available on HuggingFace.
Machine Translation
NLLB Fine-tuned — General (En↔Kin)
NLLB-200 1.3B fine-tuned on general-purpose English–Kinyarwanda data.
View on HuggingFaceNLLB Fine-tuned — Education (En↔Kin)
NLLB-200 1.3B fine-tuned on education-domain data (Coursera, Atingi).
View on HuggingFaceNLLB Fine-tuned — Tourism (En↔Kin)
NLLB-200 1.3B fine-tuned on tourism-domain English–Kinyarwanda data.
View on HuggingFaceNLLB Education (full card)
Education-domain translation model with complete model card.
View on HuggingFaceNLLB Tourism 8-bit Quantized
Tourism translation model quantized to 8-bit for CPU inference.
View on HuggingFaceQuantized NLLB — Education 8-bit
Education translation model quantized to 8-bit via CTranslate2.
View on HuggingFaceQuantized NLLB — Tourism 8-bit
Tourism translation model quantized to 8-bit via CTranslate2.
View on HuggingFaceSpeech Recognition / ASR
Kinyarwanda Coqui STT
Coqui STT model for Kinyarwanda automatic speech recognition.
View on HuggingFaceKinyarwanda NeMo Conformer
NeMo Conformer-CTC-Large ASR fine-tuned on Kinyarwanda speech.
View on HuggingFaceWhisper Small — Kinyarwanda
OpenAI Whisper-small fine-tuned on Common Voice Kinyarwanda.
View on HuggingFaceMultilingual ASR (Rw / Sw / Lg)
NeMo Conformer-CTC-Large for Kinyarwanda, Swahili, and Luganda.
View on HuggingFaceText-to-Speech & Other
Kinyarwanda TTS
Text-to-Speech model producing natural Kinyarwanda speech.
View on HuggingFaceBakame Chatbot
Rasa-based Kinyarwanda chatbot. Gated — request access on model page.
View on HuggingFaceDatasets
NMT Education Parallel Corpus (En–Kin)
61,767 sentence pairs for education-domain English–Kinyarwanda translation (Coursera, Atingi, Wikipedia).
View on HuggingFacePIQA-kin
Physical commonsense reasoning benchmark in Kinyarwanda (binary QA).
View on HuggingFaceAll models and datasets are openly licensed. Browse the full collection at huggingface.co/mbazaNLP and github.com/MBAZA-NLP.