llama-3.2-1b-english-persian-translator/.ipynb_checkpoints/README-checkpoint.md

license, language, tags, model_type, base_model, widget

license	language	tags	model_type	base_model	widget
apache-2.0	en fa	translation english-to-persian persian-to-english bilingual	llama	meta-llama/Llama-3.2-1B	text ### English: The children were playing in the park. ### Persian: text ### Persian: من به مدرسه می‌روم. ### English:

LLaMA 3.2 1B – English ↔ Persian Translator

This model is a fine-tuned version of meta-llama/Llama-3.2-1B, trained for bidirectional translation between English and Persian. It supports both:

• 🇬🇧 English → 🇮🇷 Persian
• 🇮🇷 Persian → 🇬🇧 English

---

Format

The model expects prompts in the following format:

### English:
The children were playing in the park.
### Persian:

or

### Persian:
کودکان در پارک بازی می‌کردند.
### English:

---

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("Sheikhaei/llama-3.2-1b-en-fa-translator")
tokenizer = AutoTokenizer.from_pretrained("Sheikhaei/llama-3.2-1b-en-fa-translator")

prompt = """### English:
The children were playing in the park.
### Persian:
"""

inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=100, do_sample=False)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Training Data

This model was fine-tuned on a custom English–Persian parallel dataset containing ~640,000 sentence pairs. The source data was collected from Tatoeba and then translated and expanded using the Gemma-3-12B model.

Evaluation

Direction	BLEU	COMET
English → Persian	0.47	0.89
Persian → English	0.58	0.91

License

Apache 2.0