Sheikhaei/llama-3.2-1b-english-persian-translator
Sheikhaei/llama-3.2-1b-english-persian-translator is a 1 billion parameter Llama 3.2 model fine-tuned by Sheikhaei for bidirectional English-Persian translation. This model excels at translating text between English and Persian, supporting both English to Persian and Persian to English directions. It was trained on a custom dataset of approximately 640,000 sentence pairs, achieving BLEU scores of 0.47 (En-Fa) and 0.58 (Fa-En).
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Overview
Sheikhaei/llama-3.2-1b-english-persian-translator is a specialized 1 billion parameter model derived from meta-llama/Llama-3.2-1B. Its primary function is bidirectional translation between English and Persian.
Key Capabilities
- English to Persian Translation: Translates English text into Persian.
- Persian to English Translation: Translates Persian text into English.
- Specific Prompt Format: Requires input in a structured format, e.g.,
### English:\nThe children were playing in the park.\n### Persian:or### Persian:\nکودکان در پارک بازی میکردند.\n### English:.
Training and Performance
The model was fine-tuned on a custom dataset comprising around 640,000 English-Persian parallel sentence pairs. This dataset was compiled from Tatoeba and expanded using the Gemma-3-12B model. Evaluation metrics demonstrate strong performance for a model of its size:
- English → Persian: Achieved a BLEU score of 0.47 and a COMET score of 0.89.
- Persian → English: Achieved a BLEU score of 0.58 and a COMET score of 0.91.
Good for
- Developers and applications requiring efficient and accurate English-Persian translation.
- Integrating translation capabilities into systems where a smaller, specialized model is preferred over larger, general-purpose LLMs.
- Use cases focused specifically on text translation between these two languages.