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Browse files- LICENSE.txt +202 -0
- README.md +63 -0
- config.json +25 -0
- generation_config.json +6 -0
- output.safetensors +3 -0
- pytorch_model.bin.index.json +298 -0
- special_tokens_map.json +5 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +40 -0
LICENSE.txt
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README.md
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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
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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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<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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For full details of this model, please read our [paper](https://arxiv.org/abs/2312.13951).
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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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## 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
|
43 |
+
|
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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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+
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## SCB10X AI Team
|
48 |
+
|
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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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+
```
|
52 |
+
@article{pipatanakul2023typhoon,
|
53 |
+
title={Typhoon: Thai Large Language Models},
|
54 |
+
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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+
```
|
60 |
+
|
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+
## Contact Us
|
62 |
+
|
63 |
+
- E-mail: [email protected]
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config.json
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{
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"_name_or_path": "/",
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"architectures": [
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"MistralForCausalLM"
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],
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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11 |
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [],
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": true,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": null,
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": true
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}
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