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Model: scb10x/llama3.1-typhoon2-8b Source: Original Platform
2026-08-24 06:41:12 +08:00
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+---
+license: llama3.1
+pipeline_tag: text-generation
+---
+
+**Llama3.1-Typhoon2-8B**: Thai Large Language Model (Instruct)
+
+**Llama3.1-Typhoon2-8B** is a pretrained only Thai 🇹🇭 large language model with 8 billion parameters, and it is based on Llama3.1-8B.
+
+
+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-3.1" in the model name.
+
+## **Performance**
+
+| Model                 | ThaiExam | ONET   | IC        | A-Level   | TGAT      | TPAT      | M3Exam    | Math       | Science    | Social     | Thai       |
+|------------------------|----------|--------|-----------|-----------|-----------|-----------|-----------|------------|------------|------------|------------|
+| **Typhoon2 Llama3.1 8B Base**| **51.20%** | **49.38%** | 47.36%    | **43.30%** | 67.69%    | 48.27%    | **47.52%** | 27.60%     | **44.20%** | **68.90%** | **49.38%** |
+| **Llama3.1 8B**        | 45.80%   | 38.27% | **46.31%** | 34.64%    | 61.53%    | 48.27%    | 43.33%    | **27.14%** | 40.82%     | 58.33%     | 47.05%     |
+| **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%     |
+
+
+## **Model Description**
+
+- **Model type**: A 8B decoder-only model based on Llama architecture.
+- **Requirement**: transformers 4.45.0 or newer.
+- **Primary Language(s)**: Thai 🇹🇭 and English 🇬🇧
+- **License**: [Llama 3.1 Community License](https://github.com/meta-llama/llama-models/blob/main/models/llama3_1/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}, 
+}
+```