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Model: KordAI/Typhoon-Gemma3-KordTranslate-EN-TH-4B Source: Original Platform
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197
README.md
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README.md
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---
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language:
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- en
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- th
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license: apache-2.0
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pipeline_tag: translation
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tags:
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- translation
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- thai
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- english
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- gemma-3
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- typhoon
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- machine-translation
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- bilingual
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- sft
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base_model: typhoon-ai/typhoon2.1-gemma3-4b
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---
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# 🇹🇭🇺🇸 Typhoon 2.1 Gemma 3 KordTranslate EN-TH 4B
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<p align="center">
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<img src="https://i.ibb.co/q3H1WPgj/logo.png" width="220" alt="KordTranslate Logo">
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</p>
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**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.
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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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---
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# ✨ Features
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- 🇺🇸 English → Thai translation
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- 🇹🇭 Thai → English translation
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- Instruction-tuned for translation
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- Built on **Typhoon2.1 Gemma 3 4B**
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- Lightweight and suitable for local inference
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---
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| Item | Value |
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|------|-------|
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| Model | `KordAI/Typhoon-Gemma3-KordTranslate-EN-TH-4B` |
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| Base Model | `typhoon-ai/typhoon2.1-gemma3-4b` |
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| Architecture | Gemma 3 (4B) |
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| Task | Machine Translation |
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| Languages | English, Thai |
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| Fine-tuning | Supervised Fine-Tuning (SFT) |
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---
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This model is optimized for:
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- English → Thai translation
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- Thai → English translation
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- Localization
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- Educational applications
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- Chatbot translation
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- API integration
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- Batch document translation
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For the best performance, use the prompt templates below.
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---
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# 📝 Prompt Templates
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For optimal translation quality, structure your inputs exactly as shown below depending on the translation direction.
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## English → Thai
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```text
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Translate the following English text to Thai.
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### English:
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[Your English text here]
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```
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## Thai → English
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```text
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Translate the following Thai text to English.
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### Thai:
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[Your Thai text here]
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```
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---
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# 🐍 Inference Code (Python / Transformers)
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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# Hugging Face repository
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model_name = "KordAI/Typhoon-Gemma3-KordTranslate-EN-TH-4B"
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# Load tokenizer and model
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(
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model_name,
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torch_dtype="auto",
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device_map="auto"
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)
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prompt = """
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Translate the following English text to Thai.
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### English:
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But friends, I am so gay, that if I had a wife, I would encourage her to cheat on me.
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"""
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messages = [
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{"role": "user", "content": prompt}
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]
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text = tokenizer.apply_chat_template(
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messages,
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tokenize=False,
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add_generation_prompt=True
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)
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model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
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generated_ids = model.generate(
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**model_inputs,
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max_new_tokens=512
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)
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output_ids = generated_ids[0][len(model_inputs.input_ids[0]):]
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translation = tokenizer.decode(
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output_ids,
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skip_special_tokens=True
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).strip()
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print(translation)
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```
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---
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# 🏋️ Training
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This model is fine-tuned from **`typhoon-ai/typhoon2.1-gemma3-4b`** using supervised instruction tuning on bilingual English–Thai translation datasets.
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The model is trained to perform direct translation between:
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|
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- 🇺🇸 English → Thai
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- 🇹🇭 Thai → English
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while maintaining natural, fluent, and context-aware outputs.
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---
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# ⚠️ Limitations
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- Translation quality may decrease on highly specialized domains such as medical, legal, or scientific texts.
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- Proper nouns and newly coined terminology may require manual verification.
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- The model may occasionally hallucinate or paraphrase ambiguous inputs.
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- Human review is recommended for production-critical translations.
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---
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Special thanks to:
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- **Typhoon AI** for the excellent **`typhoon2.1-gemma3-4b`** base model.
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- **KordAI** for developing and fine-tuning the translation model.
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- **Unsloth** for enabling efficient supervised fine-tuning.
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- **llama.cpp** for the GGUF format and inference ecosystem.
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- The open-source AI community for advancing multilingual language models.
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---
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# 📖 Citation
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```bibtex
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@misc{kordtranslate2026,
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title={Typhoon Gemma3 KordTranslate EN-TH 4B},
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author={KordAI},
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year={2026},
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publisher={Hugging Face},
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howpublished={https://huggingface.co/KordAI/Typhoon-Gemma3-KordTranslate-EN-TH-4B}
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}
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```
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added_tokens.json
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{
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"<image_soft_token>": 262144
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}
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chat_template.jinja
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{#- Begin-of-sequence token to start the model prompt -#}
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{{ bos_token }}
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{#- Extracts the system message. Gemma does not support system messages so it will be prepended to first user message. -#}
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{%- if messages[0]['role'] == 'system' -%}
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{%- if messages[0]['content'] is string -%}
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{%- set first_user_prefix = messages[0]['content'] -%}
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{%- else -%}
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{%- set first_user_prefix = messages[0]['content'][0]['text'] -%}
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{%- endif -%}
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{%- set loop_messages = messages[1:] -%}
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{%- else -%}
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{%- set first_user_prefix = "You are a helpful assistant named Typhoon created by SCB 10X to be helpful, harmless, and honest." -%}
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{%- set loop_messages = messages -%}
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{%- endif -%}
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||||
{%- if enable_thinking is defined and enable_thinking is true %}
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{%- set first_user_prefix = first_user_prefix + " First, think through the reasoning internally, then present the reasoning within <think>...</think>. After thinking, clearly state a response that addresses the user's request and aligns with their preferences, not just providing a direct answer." -%}
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{%- endif %}
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{%- set first_user_prefix = first_user_prefix + '\n\n' -%}
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{#- Set tools to none if not defined for this ChatCompletion request (helps avoid errors later) -#}
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{%- if not tools is defined %}
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{%- set tools = none %}
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{%- endif %}
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{#- If given only system message -#}
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{%- if loop_messages|length == 0 -%}
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{{ '<start_of_turn>user\n' -}}
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{{ first_user_prefix }}
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{#- Append system message with tool information if using tools in message request. -#}
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{%- if tools is not none -%}
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||||
{{- "Tools (functions) are available. If you decide to invoke one or more of the tools, you must respond with a python list of the function calls.\n" -}}
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||||
{{- "Example Format: [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)] \n" -}}
|
||||
{{- "Do not use variables. DO NOT USE MARKDOWN SYNTAX. You SHOULD NOT include any other text in the response if you call a function. If none of the functions can be used, point it out. If you lack the parameters required by the function, also point it out.\n" -}}
|
||||
{{- "Here is a list of functions in JSON format that you can invoke.\n" -}}
|
||||
{{- tools | tojson(indent=4) -}}
|
||||
{{- "\n\n" -}}
|
||||
{%- endif -%}
|
||||
{%- endif %}
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|
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{#- Main loop over all messages in the conversation history -#}
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{%- for message in loop_messages -%}
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{#- Normalize roles for model prompt formatting -#}
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{%- if (message['role'] == 'assistant') -%}
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||||
{%- set role = "model" -%}
|
||||
{%- elif (message['role'] == 'tool') -%}
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||||
{%- set role = "user" -%}
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{%- else -%}
|
||||
{%- set role = message['role'] -%}
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||||
{%- endif -%}
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||||
{#- Mark the start of a message block with the appropriate role -#}
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{{ '<start_of_turn>' + role + '\n' -}}
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|
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{#- Insert system message content (if present) at the beginning of the first message. -#}
|
||||
{%- if loop.first -%}
|
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{{ first_user_prefix }}
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||||
{#- Append system message with tool information if using tools in message request. -#}
|
||||
{%- if tools is not none -%}
|
||||
{{- "Tools (functions) are available. If you decide to invoke one or more of the tools, you must respond with a python list of the function calls.\n" -}}
|
||||
{{- "Example Format: [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)] \n" -}}
|
||||
{{- "Do not use variables. DO NOT USE MARKDOWN SYNTAX. You SHOULD NOT include any other text in the response if you call a function. If none of the functions can be used, point it out. If you lack the parameters required by the function, also point it out.\n" -}}
|
||||
{{- "Here is a list of functions in JSON format that you can invoke.\n" -}}
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||||
{{- tools | tojson(indent=4) -}}
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{{- "\n\n" -}}
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||||
{%- endif -%}
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||||
{%- endif -%}
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||||
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{#- Format model tool calls (turns where model indicates they want to call a tool) -#}
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{%- if 'tool_calls' in message -%}
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{#- Opening bracket for tool call list. -#}
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{{- '[' -}}
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{#- For each tool call -#}
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{%- for tool_call in message.tool_calls -%}
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{#- Function name & opening parenthesis. -#}
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||||
{%- if tool_call.function is defined -%}
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{%- set tool_call = tool_call.function -%}
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||||
{%- endif -%}
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||||
{{- tool_call.name + '(' -}}
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||||
|
||||
{#-- Handle arguments as list (positional) or dict (named) --#}
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{#-- Named arguments (dict) --#}
|
||||
{%- if tool_call.arguments is iterable and tool_call.arguments is mapping -%}
|
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{%- set first = true -%}
|
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{%- for key, val in tool_call.arguments.items() -%}
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||||
{%- if not first %}, {% endif -%}
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||||
{{ key }}={{ val | tojson }}
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||||
{%- set first = false -%}
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||||
{%- endfor -%}
|
||||
{#-- Positional arguments (list) --#}
|
||||
{%- elif tool_call.arguments is iterable -%}
|
||||
{{- tool_call.arguments | map('tojson') | join(', ') -}}
|
||||
{#-- Fallback: single positional value --#}
|
||||
{%- else -%}
|
||||
{{- tool_call.arguments | tojson -}}
|
||||
{#-- Closing parenthesis. --#}
|
||||
{%- endif -%}
|
||||
{{- ')' -}}
|
||||
{#-- If more than one tool call, place comma and move to formatting next tool call --#}
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||||
{%- if not loop.last -%}, {% endif -%}
|
||||
{%- endfor -%}
|
||||
{#- Closing bracket for tool call list. -#}
|
||||
{{- ']' -}}
|
||||
{%- endif -%}
|
||||
|
||||
{#- Tool response start tag (for messages from a tool) -#}
|
||||
{%- if (message['role'] == 'tool') -%}
|
||||
{{ '<tool_response>\n' -}}
|
||||
{%- endif -%}
|
||||
|
||||
{#- Render the message content: handle plain string or multimodal content like image/text -#}
|
||||
{%- if message['content'] is string -%}
|
||||
{%- set content = message['content'] -%}
|
||||
{%- if '</think>' in content -%}
|
||||
{%- set content = content.split('</think>')[-1] -%}
|
||||
{%- endif -%}
|
||||
{{ content | trim }}
|
||||
{%- elif message['content'] is iterable -%}
|
||||
{%- for item in message['content'] -%}
|
||||
{%- if item['type'] == 'image' -%}
|
||||
{{ '<start_of_image>' }}
|
||||
{%- elif item['type'] == 'text' -%}
|
||||
{%- set content = item['text'] -%}
|
||||
{%- if '</think>' in content -%}
|
||||
{%- set content = content.split('</think>')[-1] -%}
|
||||
{%- endif -%}
|
||||
{{ content | trim }}
|
||||
{%- endif -%}
|
||||
{%- endfor -%}
|
||||
{%- else -%}
|
||||
{{ raise_exception("Invalid content type") }}
|
||||
{%- endif -%}
|
||||
|
||||
{#- Tool response end tag -#}
|
||||
{%- if (message['role'] == 'tool') -%}
|
||||
{{ '</tool_response>' -}}
|
||||
{%- endif -%}
|
||||
|
||||
{#- Mark end of a single turn -#}
|
||||
{{ '<end_of_turn>\n' }}
|
||||
{%- endfor -%}
|
||||
|
||||
{#- If generation is to be triggered, add model prompt prefix -#}
|
||||
{%- if add_generation_prompt -%}
|
||||
{{'<start_of_turn>model\n'}}
|
||||
{%- if enable_thinking is defined and enable_thinking is true -%}
|
||||
{{- '<think>' -}}
|
||||
{%- endif %}
|
||||
{%- endif -%}
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76
config.json
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config.json
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{
|
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"_sliding_window_pattern": 6,
|
||||
"architectures": [
|
||||
"Gemma3ForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"attn_logit_softcapping": null,
|
||||
"bos_token_id": 2,
|
||||
"cache_implementation": "hybrid",
|
||||
"torch_dtype": "bfloat16",
|
||||
"eos_token_id": 1,
|
||||
"final_logit_softcapping": null,
|
||||
"head_dim": 256,
|
||||
"hidden_activation": "gelu_pytorch_tanh",
|
||||
"hidden_size": 2560,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 10240,
|
||||
"layer_types": [
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"full_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"full_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"full_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"full_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"full_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention",
|
||||
"sliding_attention"
|
||||
],
|
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33
special_tokens_map.json
Normal file
33
special_tokens_map.json
Normal file
@@ -0,0 +1,33 @@
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||||
{
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||||
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3
tokenizer.json
Normal file
3
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version https://git-lfs.github.com/spec/v1
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3
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Normal file
3
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Normal file
@@ -0,0 +1,3 @@
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51350
tokenizer_config.json
Normal file
51350
tokenizer_config.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user