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--- |
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license: llama3.2 |
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pipeline_tag: text-generation |
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--- |
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**Llama3.2-Typhoon2-1B**: Thai Large Language Model (Instruct) |
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**Llama3.2-Typhoon2-1B** is a pretrained only Thai 🇹🇭 large language model with 3 billion parameters, and it is based on Llama3.2-3B. |
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For technical-report. please see our [arxiv](https://arxiv.org/abs/2412.13702). |
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*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. |
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## **Performance** |
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| Model | ThaiExam | ONET | IC | A-Level | TGAT | TPAT | M3Exam | Math | Science | Social | Thai | |
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|------------------------|-----------|----------|-----------|-----------|-----------|-----------|-----------|------------|------------|------------|------------| |
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| **Typhoon2 Llama3.2 3B Base** | **44.53%** | **40.12%** | 40.00% | **26.77%** | **69.23%** | **46.55%** | **41.84%** | **24.43%** | **41.30%** | **60.07%** | **41.56%** | |
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| **Llama3.2 3B** | 40.42% | 30.86% | **46.31%** | 20.47% | 63.07% | 41.37% | 36.81% | 21.71% | 36.23% | 50.74% | 38.54% | |
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## **Model Description** |
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- **Model type**: A 3B decoder-only model based on Llama architecture. |
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- **Requirement**: transformers 4.45.0 or newer. |
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- **Primary Language(s)**: Thai 🇹🇭 and English 🇬🇧 |
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- **License**: [Llama 3.2 Community License](https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/LICENSE) |
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## **Intended Uses & Limitations** |
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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. |
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## **Follow us** |
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**https://twitter.com/opentyphoon** |
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## **Support** |
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**https://discord.gg/CqyBscMFpg** |
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## **Citation** |
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- If you find Typhoon2 useful for your work, please cite it using: |
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``` |
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@misc{typhoon2, |
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title={Typhoon 2: A Family of Open Text and Multimodal Thai Large Language Models}, |
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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}, |
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year={2024}, |
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eprint={2412.13702}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/2412.13702}, |
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} |
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``` |
