Model

Luganda-gemma-1B-it

A Gemma 3 1B Instruct model adapted using QLoRA for English to Luganda and Luganda to English translation.

  • Luganda
  • Translation
  • Open Model
About this model

Advancing English and Luganda translation

Built on Google's Gemma 3 1B Instruct architecture, this model uses QLoRA fine-tuning to improve English-to-Luganda and Luganda-to-English translation. It was trained primarily on the Sunbird SALT parallel corpus, covering agriculture, health, and society, adapting the base model with just 13.05 million trainable parameters in a 52 MB adapter that runs on consumer GPUs.

  • English to Luganda translation
  • Luganda to English translation
  • Luganda conversational AI
  • Educational tools for Luganda language learning
  • Low-resource African language NLP research
Hugging Face

Model Information

Language
Luganda
Task
Translation
Parameters
1B · 13.05M trained
Method
QLoRA · 4-bit NF4 · r16
Direction
en → lg, lg → en
License
Apache-2.0 adapter · Gemma terms (base)
Released
May 23, 2026
Available on
Hugging Face, Ollama, Kaggle
Playground

Try the Model

Explore how the model translates civic discourse between English and Luganda

Luganda-gemma-1B-it

English0/500
Luganda
The translation will appear here