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Model: aisingapore/Llama-SEA-LION-v3.5-8B-R-GGUF
Source: Original Platform

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LICENSE

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+MIT License
+
+Copyright 2023 AI Singapore
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

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README.md

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+---
+library_name: transformers
+pipeline_tag: text-generation
+base_model:
+- aisingapore/Llama-SEA-LION-v3-8B-IT
+new_version: aisingapore/Qwen-SEA-LION-v4.5-27B-IT
+language:
+- en
+- zh
+- vi
+- id
+- th
+- fil
+- ta
+- ms
+- km
+- lo
+- my
+- jv
+- su
+license: llama3.1
+---
+
+<div>
+  <img src="llama_sea_lion_3.5_8b_r_banner.png"/>
+</div>
+
+Current Version: `14.04.2025`
+
+# Llama-SEA-LION-v3.5-8B-R
+
+[SEA-LION](https://arxiv.org/abs/2504.05747) is a collection of Large Language Models (LLMs) which have been pretrained and instruct-tuned for the Southeast Asia (SEA) region.
+
+SEA-LION stands for _Southeast Asian Languages In One Network_.
+
+- **Developed by:** Products Pillar, AI Singapore
+- **Funded by:** Singapore NRF
+- **Model type:** Decoder
+- **Languages supported:** Burmese, Chinese, English, Filipino, Indonesia, Javanese, Khmer, Lao, Malay, Sundanese, Tamil, Thai, Vietnamese
+- **License:** [Llama 3.1 Community License](https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct/blob/main/LICENSE)
+
+## Description
+
+This repo contains `GGUF` format model files for [aisingapore/Llama-SEA-LION-v3.5-8B-R](https://huggingface.co/aisingapore/Llama-SEA-LION-v3.5-8B-R).
+
+#### Model Weights Included in this repository:
+- [Llama-SEA-LION-v3.5-8B-R-F16](https://huggingface.co/aisingapore/Llama-SEA-LION-v3.5-8B-R-GGUF/blob/main/Llama-SEA-LION-v3.5-8B-R-F16.gguf)
+- [Llama-SEA-LION-v3.5-8B-R-Q2_K](https://huggingface.co/aisingapore/Llama-SEA-LION-v3.5-8B-R-GGUF/blob/main/Llama-SEA-LION-v3.5-8B-R-Q2_K.gguf)
+- [Llama-SEA-LION-v3.5-8B-R-Q3_K_M](https://huggingface.co/aisingapore/Llama-SEA-LION-v3.5-8B-R-GGUF/blob/main/Llama-SEA-LION-v3.5-8B-R-Q3_K_M.gguf)
+- [Llama-SEA-LION-v3.5-8B-R-Q4_0](https://huggingface.co/aisingapore/Llama-SEA-LION-v3.5-8B-R-GGUF/blob/main/Llama-SEA-LION-v3.5-8B-R-Q4_0.gguf)
+- [Llama-SEA-LION-v3.5-8B-R-Q4_K_M](https://huggingface.co/aisingapore/Llama-SEA-LION-v3.5-8B-R-GGUF/blob/main/Llama-SEA-LION-v3.5-8B-R-Q4_K_M.gguf)
+- [Llama-SEA-LION-v3.5-8B-R-Q5_0](https://huggingface.co/aisingapore/Llama-SEA-LION-v3.5-8B-R-GGUF/blob/main/Llama-SEA-LION-v3.5-8B-R-Q5_0.gguf)
+- [Llama-SEA-LION-v3.5-8B-R-Q5_K_M](https://huggingface.co/aisingapore/Llama-SEA-LION-v3.5-8B-R-GGUF/blob/main/Llama-SEA-LION-v3.5-8B-R-Q5_K_M.gguf)
+- [Llama-SEA-LION-v3.5-8B-R-Q6_K](https://huggingface.co/aisingapore/Llama-SEA-LION-v3.5-8B-R-GGUF/blob/main/Llama-SEA-LION-v3.5-8B-R-Q6_K.gguf)
+- [Llama-SEA-LION-v3.5-8B-R-Q8_0](https://huggingface.co/aisingapore/Llama-SEA-LION-v3.5-8B-R-GGUF/blob/main/Llama-SEA-LION-v3.5-8B-R-Q8_0.gguf)
+> [!NOTE]
+> Take note that some GGUFs are split into parts. Most tools such as [`llama.cpp`](https://github.com/ggerganov/llama.cpp) and those built on it do support split GGUFs, pointing the platform to the first split will be sufficient for it to function.
+> In the event where a merge is necessary, it can be done using `llama.cpp`'s `gguf-split`: `./gguf-split --merge ./path/to/first-split ./path/to/output-gguf`
+> More details: [gguf-split guide](https://github.com/ggerganov/llama.cpp/discussions/6404) & [README](https://github.com/ggerganov/llama.cpp/tree/master/examples/gguf-split)
+
+### Lineage & Versioning
+
+This model card serves as an immutable record of the final released checkpoint. Consequently, the hardware specifications, compute hours, and precise dataset volumes (such as final filtered instruction counts) reported here reflect the exact production run used to generate this specific artifact. These figures may differ from the aggregate totals, pre-filtered data pools, or preliminary experimental runs (e.g., initial H100 benchmarks) documented in our accompanying research papers.
+
+The training counts and dataset mixture details reported in this model card reflect the exact constructed training pool consumed during this specific model run. Figures may differ slightly from public dataset releases, which represent downloadable open-source subsets of the broader corpus.
+
+
+### Caveats
+It is important for users to be aware that our model exhibits certain limitations that warrant consideration. Like many LLMs, the model can hallucinate and occasionally generates irrelevant content, introducing fictional elements that are not grounded in the provided context. Users should also exercise caution in interpreting and validating the model's responses due to the potential inconsistencies in its reasoning.
+
+## Limitations
+### Safety
+Current SEA-LION models, including this commercially permissive release, have not been aligned for safety. Developers and users should perform their own safety fine-tuning and related security measures. In no event shall the authors be held liable for any claim, damages, or other liability arising from the use of the released weights and codes.
+
+## Call for Contributions
+We encourage researchers, developers, and language enthusiasts to actively contribute to the enhancement and expansion of SEA-LION. Contributions can involve identifying and reporting bugs, sharing pre-training, instruction, and preference data, improving documentation usability, proposing and implementing new model evaluation tasks and metrics, or training versions of the model in additional Southeast Asian languages. Join us in shaping the future of SEA-LION by sharing your expertise and insights to make these models more accessible, accurate, and versatile. Please check out our GitHub for further information on the call for contributions.
+
+## The Team
+Antonyrex Sajeban, Chan Adwin, Cheng Nicholas, Choa Esther, Huang Yuli, Hulagadri Adithya Venkatadri, Lau Wayne, Lee Chwan Ren, Leong Wai Yi, Leong Wei Qi, Liew Rachel, Limkonchotiwat Peerat, Liu Bing Jie Darius, Montalan Jann Railey, Ng Boon Cheong Raymond, Ngui Jian Gang, Nguyen Thanh Ngan, Ong Brandon, Ong Tat-Wee David, Ong Zhi Hao, Rengarajan Hamsawardhini, Siow Bryan, Susanto Yosephine, Tai Ngee Chia, Tan Choon Meng, Teng Walter, Teo Eng Sipp Leslie, Teo Wei Yi, Tjhi William, Yeo Yeow Tong, Yong Xianbin
+## Acknowledgements
+[AI Singapore](​​https://aisingapore.org/) is a national programme supported by the National Research Foundation, Singapore and hosted by the National University of Singapore. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of the National Research Foundation or the National University of Singapore. 
+
+## Contact
+For more info, please contact us using this [SEA-LION Inquiry Form](https://forms.gle/sLCUVb95wmGf43hi6)
+
+[Link to SEA-LION's GitHub repository](https://github.com/aisingapore/sealion)
+
+## Disclaimer
+This is the repository for the commercial instruction-tuned model.
+The model has _not_ been aligned for safety.
+Developers and users should perform their own safety fine-tuning and related security measures.
+In no event shall the authors be held liable for any claims, damages, or other liabilities arising from the use of the released weights and codes. 

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