Instructions to use openthaigpt/openthaigpt-1.0.0-beta-7b-chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use openthaigpt/openthaigpt-1.0.0-beta-7b-chat with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="openthaigpt/openthaigpt-1.0.0-beta-7b-chat")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("openthaigpt/openthaigpt-1.0.0-beta-7b-chat", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use openthaigpt/openthaigpt-1.0.0-beta-7b-chat with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "openthaigpt/openthaigpt-1.0.0-beta-7b-chat"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "openthaigpt/openthaigpt-1.0.0-beta-7b-chat",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/openthaigpt/openthaigpt-1.0.0-beta-7b-chat

SGLang

How to use openthaigpt/openthaigpt-1.0.0-beta-7b-chat with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "openthaigpt/openthaigpt-1.0.0-beta-7b-chat" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "openthaigpt/openthaigpt-1.0.0-beta-7b-chat",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "openthaigpt/openthaigpt-1.0.0-beta-7b-chat" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "openthaigpt/openthaigpt-1.0.0-beta-7b-chat",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use openthaigpt/openthaigpt-1.0.0-beta-7b-chat with Docker Model Runner:
```
docker model run hf.co/openthaigpt/openthaigpt-1.0.0-beta-7b-chat
```

openthaigpt-1.0.0-beta-7b-chat / README.md

kobkrit

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acb6ed3 about 3 years ago

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	---
	license: apache-2.0
	datasets:
	- kobkrit/rd-taxqa
	- iapp_wiki_qa_squad
	- Thaweewat/alpaca-cleaned-52k-th
	- Thaweewat/instruction-wild-52k-th
	- Thaweewat/databricks-dolly-15k-th
	- Thaweewat/hc3-24k-th
	- Thaweewat/gpteacher-20k-th
	- Thaweewat/onet-m6-social
	- Thaweewat/alpaca-finance-43k-th
	language:
	- th
	- en
	library_name: transformers
	pipeline_tag: text-generation
	tags:
	- openthaigpt
	- llama
	---

	# 🇹🇭 OpenThaiGPT 1.0.0-beta
	<img src="https://1173516064-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FvvbWvIIe82Iv1yHaDBC5%2Fuploads%2Fb8eiMDaqiEQL6ahbAY0h%2Fimage.png?alt=media&token=6fce78fd-2cca-4c0a-9648-bd5518e644ce
	https://openthaigpt.aieat.or.th/" width="200px">

	🇹🇭 OpenThaiGPT Version 1.0.0-beta is a Thai language 7B-parameter LLaMA v2 Chat model finetuned to follow Thai translated instructions and extend more than 24,554 most popular Thai words vocabularies into LLM's dictionary for turbo speed.

	# ---- Lora Adapter Format of OpenThaiGPT 1.0.0-beta ----

	## Upgrade from OpenThaiGPT 1.0.0-alpha
	- Add more than 24,554 most popular Thai words vocabularies into LLM's dictionary and re-pretrain embedding layers which make it generate Thai text 10 times faster than previous version.

	## Pretrain Model
	- [https://huggingface.co/ChanonUtupon/openthaigpt-merge-lora-llama-2-7B-3470k](https://huggingface.co/ChanonUtupon/openthaigpt-merge-lora-llama-2-7B-3470k)


	## Support
	- Official website: https://openthaigpt.aieat.or.th
	- Facebook page: https://web.facebook.com/groups/openthaigpt
	- A Discord server for discussion and support [here](https://discord.gg/rUTp6dfVUF)
	- E-mail: kobkrit@iapp.co.th

	## License
	Source Code: License Apache Software License 2.0.<br>
	Weight: Research and Commercial uses.<br>

	## Code and Weight
	Web Demo: https://demo-beta.openthaigpt.aieat.or.th/<br>
	Colab Demo: https://colab.research.google.com/drive/1NkmAJHItpqu34Tur9wCFc97A6JzKR8xo?usp=sharing<br>
	Finetune Code: https://github.com/OpenThaiGPT/openthaigpt-finetune-010beta<br>
	Inference Code: https://github.com/OpenThaiGPT/openthaigpt<br>
	Weight (Lora Adapter): https://huggingface.co/openthaigpt/openthaigpt-1.0.0-beta-7b-chat<br>
	Weight (Huggingface Checkpoint): https://huggingface.co/openthaigpt/openthaigpt-1.0.0-beta-7b-chat-ckpt-hf

	## Sponsors
	Pantip.com, ThaiSC, Promes<br>
	<img src="https://1173516064-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FvvbWvIIe82Iv1yHaDBC5%2Fuploads%2FiWjRxBQgo0HUDcpZKf6A%2Fimage.png?alt=media&token=4fef4517-0b4d-46d6-a5e3-25c30c8137a6" width="100px">
	<img src="https://1173516064-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FvvbWvIIe82Iv1yHaDBC5%2Fuploads%2Ft96uNUI71mAFwkXUtxQt%2Fimage.png?alt=media&token=f8057c0c-5c5f-41ac-bb4b-ad02ee3d4dc2" width="100px">
	<img src="https://files.gitbook.com/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FvvbWvIIe82Iv1yHaDBC5%2Fuploads%2FNh7tZJtrX657BxaUApc0%2F366363992_1005927970528776_7499772460392466150_n.jpg?alt=media&token=ae0a4016-88ca-43cf-8883-32e131c97582" width="100px">

	### Powered by
	OpenThaiGPT Volunteers, Artificial Intelligence Entrepreneur Association of Thailand (AIEAT), and Artificial Intelligence Association of Thailand (AIAT)

	<img src="https://1173516064-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FvvbWvIIe82Iv1yHaDBC5%2Fuploads%2F6yWPXxdoW76a4UBsM8lw%2Fimage.png?alt=media&token=1006ee8e-5327-4bc0-b9a9-a02e93b0c032" width="100px">
	<img src="https://1173516064-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FvvbWvIIe82Iv1yHaDBC5%2Fuploads%2FBwsmSovEIhW9AEOlHTFU%2Fimage.png?alt=media&token=5b550289-e9e2-44b3-bb8f-d3057d74f247" width="100px">

	### Authors
	* Kobkrit Viriyayudhakorn (kobkrit@aieat.or.th)
	* Sumeth Yuenyong (sumeth.yue@mahidol.edu)
	* Prachya Boonkwan (prachya.boonkwan@nectec.or.th, kaamanita@gmail.com)
	* Thaweewat Rugsujarit (thaweewr@scg.com)
	* Jillaphat Jaroenkantasima (autsadang41@gmail.com)
	* Norapat Buppodom (new@norapat.com)
	* Koravich Sangkaew (kwankoravich@gmail.com)
	* Peerawat Rojratchadakorn (peerawat.roj@gmail.com)
	* Surapon Nonesung (nonesungsurapon@gmail.com)
	* Chanon Utupon (chanon.utupon@gmail.com)
	* Sadhis Wongprayoon (sadhis.tae@gmail.com)
	* Nucharee Thongthungwong (nuchhub@hotmail.com)
	* Chawakorn Phiantham (mondcha1507@gmail.com)
	* Patteera Triamamornwooth (patt.patteera@gmail.com)
	* Nattarika Juntarapaoraya (natt.juntara@gmail.com)
	* Kriangkrai Saetan (kraitan.ss21@gmail.com)
	* Pitikorn Khlaisamniang (pitikorn32@gmail.com)

	<i>Disclaimer: Provided responses are not guaranteed.</i>