Text Generation
LiteRT
LiteRT
English
Ganda
luganda
translation
conversational
gemma
gemma3
fine-tuned
mobile
android
ios
mediapipe
edge
on-device
Instructions to use CraneAILabs/ganda-gemma-1b-litert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT
How to use CraneAILabs/ganda-gemma-1b-litert with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Remove redundant performance metrics table and update chart
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README.md
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- **Output Language**: Luganda only
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- **Primary Focus**: English-to-Luganda translation and Luganda conversation
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## 📊 Performance Metrics
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### Translation Quality (BLEU Scores)
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| Model | BLEU Score | chrF++ |
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| **🥇 Ganda Gemma 1B** | **6.99** | **40.32** |
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| 🥈 GPT-5 Mini | 5.14 | 36.55 |
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| 🥉 Gemma 3 27B | 3.65 | 31.37 |
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*Evaluated on 1,012 English-to-Luganda translation samples.*
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## 📦 Model Variants Guide
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### 1. `ganda-gemma-1b-instruct.task` (RECOMMENDED)
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- **Output Language**: Luganda only
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- **Primary Focus**: English-to-Luganda translation and Luganda conversation
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## 📦 Model Variants Guide
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### 1. `ganda-gemma-1b-instruct.task` (RECOMMENDED)
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