Instructions to use openthaigpt/openthaigpt-1.0.0-beta-13b-chat-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use openthaigpt/openthaigpt-1.0.0-beta-13b-chat-hf 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-13b-chat-hf")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("openthaigpt/openthaigpt-1.0.0-beta-13b-chat-hf")
model = AutoModelForCausalLM.from_pretrained("openthaigpt/openthaigpt-1.0.0-beta-13b-chat-hf")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use openthaigpt/openthaigpt-1.0.0-beta-13b-chat-hf 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-13b-chat-hf"
# 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-13b-chat-hf",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/openthaigpt/openthaigpt-1.0.0-beta-13b-chat-hf

SGLang

How to use openthaigpt/openthaigpt-1.0.0-beta-13b-chat-hf 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-13b-chat-hf" \
    --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-13b-chat-hf",
		"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-13b-chat-hf" \
        --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-13b-chat-hf",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use openthaigpt/openthaigpt-1.0.0-beta-13b-chat-hf with Docker Model Runner:
```
docker model run hf.co/openthaigpt/openthaigpt-1.0.0-beta-13b-chat-hf
```

openthaigpt-1.0.0-beta-13b-chat-hf / README.md

kobkrit

Update README.md

e800c7a over 2 years ago

preview code

Raw

History Blame Contribute Delete

3.62 kB

	---
	license: apache-2.0
	language:
	- th
	- en
	library_name: transformers
	pipeline_tag: text-generation
	tags:
	- openthaigpt
	- llama
	---

	# 🇹🇭 OpenThaiGPT 13b 1.0.0-beta Chat with 16 bits in Huggingface's format.
	<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 13b Version 1.0.0-beta is a Thai language 13B-parameter LLaMA v2 Chat model finetuned to follow Thai translated instructions and extend more than 10,000 most popular Thai words vocabularies into LLM's dictionary for turbo speed.

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

	## Codes and Weight
	Finetune Code: https://github.com/OpenThaiGPT/openthaigpt-finetune-010beta<br>
	Inference Code: https://github.com/OpenThaiGPT/openthaigpt<br>
	Weight (Huggingface Checkpoint): https://huggingface.co/openthaigpt/openthaigpt-1.0.0-beta-13b-chat-hf

	## Sponsors
	<img src="https://cdn-uploads.huggingface.co/production/uploads/5fcd9c426d942eaf4d1ebd30/42d-GioSs4evIdNuMAaPB.png" width="600px">

	## Supports
	- 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@aieat.or.th

	## Description
	Prompt format is Llama2
	```
	<s>[INST] <<SYS>>
	system_prompt
	<</SYS>>

	question [/INST]
	```
	System prompt:
	You are a question answering assistant. Answer the question as truthful and helpful as possible คุณคือผู้ช่วยตอบคำถาม จงตอบคำถามอย่างถูกต้องและมีประโยชน์ที่สุด

	## How to use

	1. install VLLM (https://github.com/vllm-project/vllm)
	2. python -m vllm.entrypoints.api_server --model /path/to/model --tensor-parallel-size num_gpus
	3. run inference (CURL example)

	```
	curl --request POST \
	--url http://localhost:8000/generate \
	--header "Content-Type: application/json" \
	--data '{"prompt": "<s>[INST] <<SYS>>\nYou are a question answering assistant. Answer the question as truthful and helpful as possible คุณคือผู้ช่วยตอบคำถาม จงตอบคำถามอย่างถูกต้องและมีประโยชน์ที่สุด\n<</SYS>>\n\nอยากลดความอ้วนต้องทำอย่างไร [/INST]","use_beam_search": false, "temperature": 0.1, "max_tokens": 512, "top_p": 0.75, "top_k": 40, "frequency_penalty": 0.3 "stop": "</s>"}'
	```

	### Authors
	* Kobkrit Viriyayudhakorn (kobkrit@aieat.or.th)
	* Sumeth Yuenyong (sumeth.yue@mahidol.edu)
	* 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>