tools
InkubaLM
InkubaLM is Lelapa AI’s compact multilingual language model for five African languages and resource-constrained deployments.
InkubaLM-0.4B is a 400-million-parameter autoregressive language model trained for isiZulu, Yoruba, Hausa, Swahili, and isiXhosa, with English and French included in its training data. It supports text generation and downstream NLP tasks through zero-shot or few-shot learning.
Researchers and developers can use it for translation, sentiment analysis, named entity recognition, part-of-speech tagging, question answering, and topic classification. It supports CPU, GPU, and multi-GPU deployment, including laptops. Lelapa describes it as a foundational model rather than production-ready software; no InkubaLM pricing was listed on the official pricing page.
Features
- Supports isiZulu, Yoruba, Hausa, Swahili, and isiXhosa
- 400-million-parameter autoregressive language model
- Supports zero-shot and few-shot text generation
- Supports machine translation and question answering
- Supports sentiment analysis and named entity recognition
- Supports part-of-speech tagging and topic classification
- Runs on CPU, GPU, and multi-GPU systems
- Open-source model availability
Use cases
- Build NLP applications for low-resource African languages
- Fine-tune the model for translation and classification tasks
- Run multilingual language applications on laptops or local servers
- Create question-answering tools for African-language users
- Experiment with compressed models for constrained environments