---
language:
- en
- th
license: apache-2.0
pipeline_tag: translation
tags:
- translation
- thai
- english
- gemma-3
- typhoon
- machine-translation
- bilingual
- sft
base_model: typhoon-ai/typhoon2.1-gemma3-4b


---

# 🇹🇭🇺🇸 Typhoon 2.1 Gemma 3 KordTranslate EN-TH 4B

<p align="center">
  <img src="https://i.ibb.co/q3H1WPgj/logo.png" width="220" alt="KordTranslate Logo">
</p>

**Typhoon 2.1 Gemma 3 KordTranslate EN-TH 4B** is a bilingual English ↔ Thai translation model fine-tuned from **`typhoon-ai/typhoon2.1-gemma3-4b`** 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.
---

# ✨ Features

- 🇺🇸 English → Thai translation
- 🇹🇭 Thai → English translation
- Instruction-tuned for translation
- Built on **Typhoon2.1 Gemma 3 4B**
- Lightweight and suitable for local inference

---

| Item | Value |
|------|-------|
| Model | `KordAI/Typhoon-Gemma3-KordTranslate-EN-TH-4B` |
| Base Model | `typhoon-ai/typhoon2.1-gemma3-4b` |
| Architecture | Gemma 3 (4B) |
| Task | Machine Translation |
| Languages | English, Thai |
| Fine-tuning | Supervised Fine-Tuning (SFT) |

---

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.

---

# 📝 Prompt Templates

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

## English → Thai

```text
Translate the following English text to Thai.

### English:
[Your English text here]
```

## Thai → English

```text
Translate the following Thai text to English.


### Thai:
[Your Thai text here]


```

---

# 🐍 Inference Code (Python / Transformers)

```python
from transformers import AutoModelForCausalLM, AutoTokenizer


# Hugging Face repository
model_name = "KordAI/Typhoon-Gemma3-KordTranslate-EN-TH-4B"


# 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)
```

---

# 🏋️ Training

This model is fine-tuned from **`typhoon-ai/typhoon2.1-gemma3-4b`** 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.

---

# ⚠️ 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.


---
Special thanks to:

- **Typhoon AI** for the excellent **`typhoon2.1-gemma3-4b`** 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.

---

# 📖 Citation

```bibtex
@misc{kordtranslate2026,
  title={Typhoon Gemma3 KordTranslate EN-TH 4B},
  author={KordAI},
  year={2026},
  publisher={Hugging Face},
  howpublished={https://huggingface.co/KordAI/Typhoon-Gemma3-KordTranslate-EN-TH-4B}
}
```