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README.md

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+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 - bnb 4bits
+- Model creator: https://huggingface.co/scb10x/
+- Original model: https://huggingface.co/scb10x/typhoon-7b/
+
+
+
+
+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.
+
+<div align="center">
+<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'"/>
+</div>
+
+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: [email protected], [email protected]
+- Technical: [email protected]
+
+