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license: apache-2.0 |
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pipeline_tag: text-generation |
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**Typhoon2-Qwen2.5-7B**: Thai Large Language Model (Instruct) |
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**Typhoon2-Qwen2.5-7B** is a pretrained only Thai 🇹🇭 large language model with 7 billion parameters, and it is based on Qwen2.5-7B. |
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For technical-report. please see our [arxiv](https://arxiv.org/abs/2412.13702). |
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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 Qwen2.5 7B Base** | **58.86%** | **58.64%** | 65.26% | **55.11%** | 66.15% | 49.13% | **59.90%** | 42.98% | **59.42%** | **75.62%** | **61.59%** | |
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| **Qwen2.5 7B** | 55.74% | 51.23% | **60.00%** | 41.73% | **72.30%** | **53.44%** | 55.65% | **46.15%** | 54.10% | 66.54% | 55.82% | |
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| **Typhoon1.5 Llama3 8B Base** | 48.82% | 41.35% | 41.05% | 40.94% | 70.76% | 50.00% | 43.88% | 22.62% | 43.47% | 62.81% | 46.63% | |
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## **Model Description** |
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- **Model type**: A 7B decoder-only model based on Qwen2 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**: Apache-2.0 |
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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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``` |
