---
license: llama3.2
pipeline_tag: text-generation
---

**Llama3.2-Typhoon2-1B**: Thai Large Language Model (Instruct)

**Llama3.2-Typhoon2-1B** is a pretrained only Thai 🇹🇭 large language model with 1 billion parameters, and it is based on Llama3.2-1B.

For technical-report. please see our [arxiv](https://arxiv.org/abs/2412.13702).
*To acknowledge Meta's effort in creating the foundation model and to comply with the license, we explicitly include "llama-3.2" in the model name.

## **Performance**

| Model                 | ThaiExam  | ONET     | IC        | A-Level   | TGAT      | TPAT      | M3Exam    | Math       | Science    | Social     | Thai       |
|------------------------|-----------|----------|-----------|-----------|-----------|-----------|-----------|------------|------------|------------|------------|
| **Typhoon2 Llama3.2 1B Base**   | **26.83%** | **19.75%** | 16.84%    | 17.32%    | **49.23%** | **31.03%** | **26.10%** | 21.71%     | **25.60%** | **32.83%** | 24.27%     |
| **Llama3.1 1B**        | 25.38%    | 18.51%   | **20.00%** | **26.77%** | 32.30%    | 29.31%    | 25.30%    | **23.52%** | 25.36%     | 27.48%     | **24.82%** |


## **Model Description**

- **Model type**: A 1B decoder-only model based on Llama architecture.
- **Requirement**: transformers 4.45.0 or newer.
- **Primary Language(s)**: Thai 🇹🇭 and English 🇬🇧
- **License**: [Llama 3.2 Community License](https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/LICENSE)


## **Intended Uses & Limitations**

This model is a pretrained base model. Thus, it may not be able to follow human instructions without using one/few-shot learning or instruction fine-tuning. The model does not have any moderation mechanisms, and may generate harmful or inappropriate responses.

## **Follow us**

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

## **Support**

**https://discord.gg/us5gAYmrxw**

## **Citation**

- If you find Typhoon2 useful for your work, please cite it using:
```
@misc{typhoon2,
      title={Typhoon 2: A Family of Open Text and Multimodal Thai Large Language Models}, 
      author={Kunat Pipatanakul and Potsawee Manakul and Natapong Nitarach and Warit Sirichotedumrong and Surapon Nonesung and Teetouch Jaknamon and Parinthapat Pengpun and Pittawat Taveekitworachai and Adisai Na-Thalang and Sittipong Sripaisarnmongkol and Krisanapong Jirayoot and Kasima Tharnpipitchai},
      year={2024},
      eprint={2412.13702},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2412.13702}, 
}
```