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", dtype="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

🇹🇭 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

Support

Official website: https://openthaigpt.aieat.or.th
Facebook page: https://web.facebook.com/groups/openthaigpt
A Discord server for discussion and support here
E-mail: kobkrit@iapp.co.th

License

Source Code: License Apache Software License 2.0.
Weight: Research and Commercial uses.

Code and Weight

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

Sponsors

Pantip.com, ThaiSC, Promes

Powered by

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

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)

Disclaimer: Provided responses are not guaranteed.

Downloads last month: -; Downloads are not tracked for this model. How to track

openthaigpt
/

openthaigpt-1.0.0-beta-7b-chat