--- language: - th license: apache-2.0 library_name: transformers tags: - pretrained pipeline_tag: text-generation model-index: - name: typhoon-7b results: - task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics: - type: acc_norm value: 58.53 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=scb10x/typhoon-7b name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: num_few_shot: 10 metrics: - type: acc_norm value: 81.55 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=scb10x/typhoon-7b name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: num_few_shot: 5 metrics: - type: acc value: 59.54 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=scb10x/typhoon-7b name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthful_qa config: multiple_choice split: validation args: num_few_shot: 0 metrics: - type: mc2 value: 40.52 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=scb10x/typhoon-7b name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winogrande_xl split: validation args: num_few_shot: 5 metrics: - type: acc value: 76.56 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=scb10x/typhoon-7b name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: num_few_shot: 5 metrics: - type: acc value: 31.61 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=scb10x/typhoon-7b name: Open LLM Leaderboard --- # 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 # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_scb10x__typhoon-7b) | Metric |Value| |---------------------------------|----:| |Avg. |58.05| |AI2 Reasoning Challenge (25-Shot)|58.53| |HellaSwag (10-Shot) |81.55| |MMLU (5-Shot) |59.54| |TruthfulQA (0-shot) |40.52| |Winogrande (5-shot) |76.56| |GSM8k (5-shot) |31.61|