Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) typhoon-7b - GGUF - Model creator: https://huggingface.co/scb10x/ - Original model: https://huggingface.co/scb10x/typhoon-7b/ | Name | Quant method | Size | | ---- | ---- | ---- | | [typhoon-7b.Q2_K.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.Q2_K.gguf) | Q2_K | 2.55GB | | [typhoon-7b.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.IQ3_XS.gguf) | IQ3_XS | 2.83GB | | [typhoon-7b.IQ3_S.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.IQ3_S.gguf) | IQ3_S | 2.98GB | | [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 | | [typhoon-7b.IQ3_M.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.IQ3_M.gguf) | IQ3_M | 3.07GB | | [typhoon-7b.Q3_K.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.Q3_K.gguf) | Q3_K | 3.29GB | | [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 | | [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 | | [typhoon-7b.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.IQ4_XS.gguf) | IQ4_XS | 3.69GB | | [typhoon-7b.Q4_0.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.Q4_0.gguf) | Q4_0 | 3.84GB | | [typhoon-7b.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.IQ4_NL.gguf) | IQ4_NL | 3.89GB | | [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 | | [typhoon-7b.Q4_K.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.Q4_K.gguf) | Q4_K | 4.09GB | | [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 | | [typhoon-7b.Q4_1.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.Q4_1.gguf) | Q4_1 | 4.26GB | | [typhoon-7b.Q5_0.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.Q5_0.gguf) | Q5_0 | 4.67GB | | [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 | | [typhoon-7b.Q5_K.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.Q5_K.gguf) | Q5_K | 4.8GB | | [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 | | [typhoon-7b.Q5_1.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.Q5_1.gguf) | Q5_1 | 5.09GB | | [typhoon-7b.Q6_K.gguf](https://huggingface.co/RichardErkhov/scb10x_-_typhoon-7b-gguf/blob/main/typhoon-7b.Q6_K.gguf) | Q6_K | 5.55GB | Original model description: --- license: apache-2.0 language: - th library_name: transformers pipeline_tag: text-generation tags: - pretrained --- # Typhoon-7B: Thai Large Language Model (Pretrained) **Typhoon-7B** is a *pretrained* Thai 🇹🇭 large language model with 7 billion parameters, and it is based on Mistral-7B. **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. **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. 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.
Typhoon benchmark
For full details of this model, please read our [paper](https://arxiv.org/abs/2312.13951). ## Model Description - **Model type**: A 7B pretrained decoder-only model - **Requirement**: transformers 4.34.0 or newer. - **Primary Language(s)**: Thai 🇹🇭 and English 🇬🇧 - **License**: Apache-2.0 (Commercial) ## Performance on Thai Benchmark | **Model** | **ONET** | **IC** | **TGAT** | **TPAT-1** | **A-Level** | |---------------------|----------|--------|----------|------------|-------------| | Typhoon-7B | 0.379 | 0.393 | 0.700 | 0.414 | 0.324 | | SeaLLM-7B | 0.342 | 0.256 | 0.589 | 0.336 | 0.305 | | OpenThaiGPT-beta-7B | 0.180 | 0.278 | 0.411 | 0.319 | 0.243 | | WangChanGLM | 0.192 | 0.271 | 0.167 | 0.172 | 0.175 | | SEA-LION-7B | 0.179 | 0.290 | 0.244 | 0.198 | 0.175 | | Avg. Human | 0.318 | - | 0.472 | 0.406 | - | ## 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 / Ask any question https://discord.gg/CqyBscMFpg ## SCB10X AI Team - Kunat Pipatanakul, Phatrasek Jirabovonvisut, Potsawee Manakul, Sittipong Sripaisarnmongkol, Ruangsak Patomwong, Pathomporn Chokchainant, Kasima Tharnpipitchai - If you find Typhoon-7B useful for your work, please cite it using: ``` @article{pipatanakul2023typhoon, title={Typhoon: Thai Large Language Models}, author={Kunat Pipatanakul and Phatrasek Jirabovonvisut and Potsawee Manakul and Sittipong Sripaisarnmongkol and Ruangsak Patomwong and Pathomporn Chokchainant and Kasima Tharnpipitchai}, year={2023}, journal={arXiv preprint arXiv:2312.13951}, url={https://arxiv.org/abs/2312.13951} } ``` ## Contact Us - General & Collaboration: kasima@scb10x.com, pathomporn@scb10x.com - Technical: kunat@scb10x.com