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+ Quantization made by Richard Erkhov.
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+
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+ [Github](https://github.com/RichardErkhov)
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+
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+ [Discord](https://discord.gg/pvy7H8DZMG)
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+
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+ [Request more models](https://github.com/RichardErkhov/quant_request)
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+
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+
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+ typhoon-7b - GGUF
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+ - Model creator: https://huggingface.co/scb10x/
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+ - Original model: https://huggingface.co/scb10x/typhoon-7b/
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+
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+
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+ | Name | Quant method | Size |
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+ | ---- | ---- | ---- |
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+ | [typhoon-7b.Q2_K.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.Q2_K.gguf) | Q2_K | 2.55GB |
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+ | [typhoon-7b.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.IQ3_XS.gguf) | IQ3_XS | 2.83GB |
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+ | [typhoon-7b.IQ3_S.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.IQ3_S.gguf) | IQ3_S | 2.98GB |
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+ | [typhoon-7b.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.Q3_K_S.gguf) | Q3_K_S | 2.96GB |
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+ | [typhoon-7b.IQ3_M.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.IQ3_M.gguf) | IQ3_M | 3.07GB |
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+ | [typhoon-7b.Q3_K.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.Q3_K.gguf) | Q3_K | 3.29GB |
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+ | [typhoon-7b.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.Q3_K_M.gguf) | Q3_K_M | 3.29GB |
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+ | [typhoon-7b.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.Q3_K_L.gguf) | Q3_K_L | 3.57GB |
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+ | [typhoon-7b.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.IQ4_XS.gguf) | IQ4_XS | 3.69GB |
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+ | [typhoon-7b.Q4_0.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.Q4_0.gguf) | Q4_0 | 3.84GB |
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+ | [typhoon-7b.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.IQ4_NL.gguf) | IQ4_NL | 3.89GB |
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+ | [typhoon-7b.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.Q4_K_S.gguf) | Q4_K_S | 3.87GB |
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+ | [typhoon-7b.Q4_K.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.Q4_K.gguf) | Q4_K | 4.09GB |
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+ | [typhoon-7b.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.Q4_K_M.gguf) | Q4_K_M | 4.09GB |
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+ | [typhoon-7b.Q4_1.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.Q4_1.gguf) | Q4_1 | 4.26GB |
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+ | [typhoon-7b.Q5_0.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.Q5_0.gguf) | Q5_0 | 4.67GB |
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+ | [typhoon-7b.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.Q5_K_S.gguf) | Q5_K_S | 4.67GB |
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+ | [typhoon-7b.Q5_K.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.Q5_K.gguf) | Q5_K | 4.8GB |
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+ | [typhoon-7b.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.Q5_K_M.gguf) | Q5_K_M | 4.8GB |
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+ | [typhoon-7b.Q5_1.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.Q5_1.gguf) | Q5_1 | 5.09GB |
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+ | [typhoon-7b.Q6_K.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.Q6_K.gguf) | Q6_K | 5.55GB |
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+
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+
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+
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+
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+ Original model description:
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+
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+ ---
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+ license: apache-2.0
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+ language:
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+ - th
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+ library_name: transformers
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+ pipeline_tag: text-generation
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+ tags:
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+ - pretrained
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+ ---
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+ # Typhoon-7B: Thai Large Language Model (Pretrained)
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+
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+ **Typhoon-7B** is a *pretrained* Thai 🇹🇭 large language model with 7 billion parameters, and it is based on Mistral-7B.
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+
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+ **Typhoon-7B** outperforms all open-source Thai language models at the time of writing as evaluated on Thai examination benchmarks, and its instruction-tuned variant achieves the best results in instruction-following tasks. Also, its performance in Thai is on par with GPT-3.5 while being 2.62 times more efficient in tokenizing Thai text.
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+
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+ **This is not an instruction-tuned model** - 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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+
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+ The Instruct model (chat-model) will be released soon. The beta version register is open at https://opentyphoon.ai/ or follow us for future model release https://twitter.com/opentyphoon.
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+
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+ <div align="center">
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+ <img src="https://storage.googleapis.com/scb10x-ai-lab-public/assets/typhoon_benchmark.png" alt="Typhoon benchmark" width="100%" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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+ </div>
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+
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+ For full details of this model, please read our [paper](https://arxiv.org/abs/2312.13951).
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+
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+
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+ ## Model Description
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+ - **Model type**: A 7B pretrained decoder-only model
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+ - **Requirement**: transformers 4.34.0 or newer.
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+ - **Primary Language(s)**: Thai 🇹🇭 and English 🇬🇧
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+ - **License**: Apache-2.0 (Commercial)
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+
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+ ## Performance on Thai Benchmark
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+
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+ | **Model** | **ONET** | **IC** | **TGAT** | **TPAT-1** | **A-Level** |
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+ |---------------------|----------|--------|----------|------------|-------------|
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+ | Typhoon-7B | 0.379 | 0.393 | 0.700 | 0.414 | 0.324 |
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+ | SeaLLM-7B | 0.342 | 0.256 | 0.589 | 0.336 | 0.305 |
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+ | OpenThaiGPT-beta-7B | 0.180 | 0.278 | 0.411 | 0.319 | 0.243 |
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+ | WangChanGLM | 0.192 | 0.271 | 0.167 | 0.172 | 0.175 |
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+ | SEA-LION-7B | 0.179 | 0.290 | 0.244 | 0.198 | 0.175 |
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+ | Avg. Human | 0.318 | - | 0.472 | 0.406 | - |
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+
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+ ## Intended Uses & Limitations
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+
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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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+
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+ ## Follow us
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+
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+ https://twitter.com/opentyphoon
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+
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+ ## Support / Ask any question
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+
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+ https://discord.gg/CqyBscMFpg
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+
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+ ## SCB10X AI Team
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+
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+ - Kunat Pipatanakul, Phatrasek Jirabovonvisut, Potsawee Manakul, Sittipong Sripaisarnmongkol, Ruangsak Patomwong, Pathomporn Chokchainant, Kasima Tharnpipitchai
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+ - If you find Typhoon-7B useful for your work, please cite it using:
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+ ```
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+ @article{pipatanakul2023typhoon,
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+ title={Typhoon: Thai Large Language Models},
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+ author={Kunat Pipatanakul and Phatrasek Jirabovonvisut and Potsawee Manakul and Sittipong Sripaisarnmongkol and Ruangsak Patomwong and Pathomporn Chokchainant and Kasima Tharnpipitchai},
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+ year={2023},
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+ journal={arXiv preprint arXiv:2312.13951},
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+ url={https://arxiv.org/abs/2312.13951}
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+ }
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+ ```
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+
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+ ## Contact Us
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+ - General & Collaboration: kasima@scb10x.com, pathomporn@scb10x.com
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+ - Technical: kunat@scb10x.com
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+
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+