---
license: apache-2.0
pipeline_tag: text-generation
---
**Typhoon-0219: Thai Large Language Model (Instruct)**

**Typhoon-0219** is a *instruct* Thai 🇹🇭 large language model with 7 billion parameters, and it is based on Typhoon 7B. It is the second-generation instruct model version that serves [opentyphoon.ai](http://opentyphoon.ai/). It is trained on a diverse instruction tuning dataset with more than 1 million rows, similar to [OpenHermes](https://huggingface.co/datasets/teknium/OpenHermes-2.5), and supports using system prompts.

## **Model Description**

- **Model type**: A 7B instruct decoder-only model based on Mistral architecture.
- **Requirement**: transformers 4.38.0 or newer.
- **Primary Language(s)**: Thai 🇹🇭 and English 🇬🇧
- **License**: Apache-2.0

## **Intended Uses & Limitations**

This model is an instructional model. However, it’s still undergoing development. It incorporates some level of guardrails, but it still may produce answers that are inaccurate, biased, or otherwise objectionable in response to user prompts. We recommend that developers assess these risks in the context of their use case.

## Production Deployment

We suggest using the OpenAI-compatible API server from the [vLLM](https://github.com/vllm-project/vllm) project. 

```python
python -m vllm.entrypoints.openai.api_server --port 8080 --model scb10x/typhoon-7b-instruct-02-19-2024 --max-num-batched-tokens 8192 --max-model-len 8192 --served-model-name typhoon-instruct
```

## Chat Template

We use chatml chat-template.

```python
{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content']}}{% if (loop.last and add_generation_prompt) or not loop.last %}{{ '<|im_end|>' + '\n'}}{% endif %}{% endfor %}
{% if add_generation_prompt and messages[-1]['role'] != 'assistant' %}{{ '<|im_start|>assistant\n' }}{% endif %}
```

## **Follow us**

**https://twitter.com/opentyphoon**

## **Support**

**https://discord.gg/CqyBscMFpg**

## **SCB10X AI Team**

- Kunat Pipatanakul, Potsawee Manakul, Sittipong Sripaisarnmongkol, Pathomporn Chokchainant, Kasima Tharnpipitchai
- If you find Typhoon useful for your work, please cite it using:

```
@article{pipatanakul2023typhoon,
    title={Typhoon: Thai Large Language Models}, 
    author={Kunat Pipatanakul and Phatrasek Jirabovonvisut and Potsawee Manakul and Sittipong Sripaisarnmongkol and Ruangsak Patomwong and Pathomporn Chokchainant and Kasima Tharnpipitchai},
    year={2023},
    journal={arXiv preprint arXiv:2312.13951},
    url={https://arxiv.org/abs/2312.13951}
}
```

## **Contact Us**

- General & Collaboration: **[kasima@scb10x.com](mailto:kasima@scb10x.com)**, **[pathomporn@scb10x.com](mailto:pathomporn@scb10x.com)**
- Technical: **[kunat@scb10x.com](mailto:kunat@scb10x.com)**