Typhoon-llama3.2-KordTranslate-EN-TH-1B

🇹🇭🇺🇸 Typhoon llama3.2 KordTranslate EN-TH 1B

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Typhoon llama3.2 KordTranslate EN-TH 1B is a bilingual English ↔ Thai translation model fine-tuned from Typhoon llama3.2 KordTranslate EN-TH 1B for high-quality machine translation between Thai and English.

The model is instruction-tuned specifically for translation tasks using bilingual translation datasets while preserving the strong language understanding inherited from the Typhoon base model.

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✨ Features

• 🇺🇸 English → Thai translation
• 🇹🇭 Thai → English translation
• Instruction-tuned for translation
• Built on Typhoon llama3.2 1B
• Lightweight and suitable for local inference

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📋 Model Details

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🎯 Intended Use

This model is optimized for:

• English → Thai translation
• Thai → English translation
• Localization
• Educational applications
• Chatbot translation
• API integration
• Batch document translation

For the best performance, use the prompt templates below.

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📝 Prompt Templates

For optimal translation quality, structure your inputs exactly as shown below depending on the translation direction.

English → Thai

Translate the following English text to Thai.

### English:
[Your English text here]

Thai → English

Translate the following Thai text to English.

### Thai:
[Your Thai text here]

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🐍 Inference Code (Python / Transformers)

from transformers import AutoModelForCausalLM, AutoTokenizer

# Hugging Face repository
model_name = "KordAI/Typhoon-llama3.2-KordTranslate-EN-TH-1B"

# Load tokenizer and model
tokenizer = AutoTokenizer.from_pretrained(model_name)

model = AutoModelForCausalLM.from_pretrained(
    model_name,
    torch_dtype="auto",
    device_map="auto"
)

prompt = """
Translate the following English text to Thai.

### English:
But friends, I am so gay, that if I had a wife, I would encourage her to cheat on me.
"""

messages = [
    {"role": "user", "content": prompt}
]

text = tokenizer.apply_chat_template(
    messages,
    tokenize=False,
    add_generation_prompt=True
)

model_inputs = tokenizer([text], return_tensors="pt").to(model.device)

generated_ids = model.generate(
    **model_inputs,
    max_new_tokens=512
)

output_ids = generated_ids[0][len(model_inputs.input_ids[0]):]

translation = tokenizer.decode(
    output_ids,
    skip_special_tokens=True
).strip()

print(translation)

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🏋️ Training

This model is fine-tuned from typhoon-ai/Typhoon-llama3.2-1B using supervised instruction tuning on bilingual English–Thai translation datasets.

The model is trained to perform direct translation between:

• 🇺🇸 English → Thai
• 🇹🇭 Thai → English

while maintaining natural, fluent, and context-aware outputs.

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⚠️ Limitations

• Translation quality may decrease on highly specialized domains such as medical, legal, or scientific texts.
• Proper nouns and newly coined terminology may require manual verification.
• The model may occasionally hallucinate or paraphrase ambiguous inputs.
• Human review is recommended for production-critical translations.

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🙏 Acknowledgments

Special thanks to:

• Typhoon AI for the excellent Typhoon-llama3.2-1B base model.
• KordAI for developing and fine-tuning the translation model.
• Unsloth for enabling efficient supervised fine-tuning.
• llama.cpp for the GGUF format and inference ecosystem.
• The open-source AI community for advancing multilingual language models.

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📖 Citation

@misc{kordtranslate2026,
  title={Typhoon llama3.2 KordTranslate EN-TH 1B},
  author={KordAI},
  year={2026},
  publisher={Hugging Face},
  howpublished={https://huggingface.co/KordAI/Typhoon-llama3.2-KordTranslate-EN-TH-1B}
}