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metadata
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 ๐Ÿ‡น๐Ÿ‡ญ 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.

Model Description

  • Model type: A 7B pretrained decoder-only model
  • Requirement: transformers 4.34.0 or newer.
  • Primary Language(s): Thai ๐Ÿ‡น๐Ÿ‡ญ and English ๐Ÿ‡ฌ๐Ÿ‡ง
  • 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

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

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