Instructions to use openthaigpt/openthaigpt-1.0.0-alpha-7b-chat-ggml-q4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use openthaigpt/openthaigpt-1.0.0-alpha-7b-chat-ggml-q4 with Transformers:

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

pipe = pipeline("text-generation", model="openthaigpt/openthaigpt-1.0.0-alpha-7b-chat-ggml-q4")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("openthaigpt/openthaigpt-1.0.0-alpha-7b-chat-ggml-q4", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use openthaigpt/openthaigpt-1.0.0-alpha-7b-chat-ggml-q4 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-alpha-7b-chat-ggml-q4"
# 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-alpha-7b-chat-ggml-q4",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/openthaigpt/openthaigpt-1.0.0-alpha-7b-chat-ggml-q4

SGLang

How to use openthaigpt/openthaigpt-1.0.0-alpha-7b-chat-ggml-q4 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-alpha-7b-chat-ggml-q4" \
    --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-alpha-7b-chat-ggml-q4",
		"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-alpha-7b-chat-ggml-q4" \
        --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-alpha-7b-chat-ggml-q4",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use openthaigpt/openthaigpt-1.0.0-alpha-7b-chat-ggml-q4 with Docker Model Runner:
```
docker model run hf.co/openthaigpt/openthaigpt-1.0.0-alpha-7b-chat-ggml-q4
```

kobkrit commited on Aug 10, 2023

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@@ -1,3 +1,88 @@
 ---
 license: apache-2.0
 ---

 ---
 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-alpha
+<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-alpha is the first Thai implementation of a 7B-parameter LLaMA v2 Chat model finetuned to follow Thai translated instructions below and makes use of the Huggingface LLaMA implementation.
+** Full Huggingface Checkpoint Model **
+## Upgrade from OpenThaiGPT 0.1.0-beta
+- Using Facebook LLama v2 model 7b chat as a base model which is pretrained on over 2 trillion token.
+- Context Length is upgrade from 2048 token to 4096 token
+- Allow research and commerical use.a
+## Pretrain Model
+- [https://huggingface.co/meta-llama/Llama-2-7b-chat](https://huggingface.co/meta-llama/Llama-2-7b-chat)
+## 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
+**Colab Demo**: https://colab.research.google.com/drive/1kDQidCtY9lDpk49i7P3JjLAcJM04lawu?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-alpha-7b-chat<br>
+**Weight (Huggingface Checkpoint)**: https://huggingface.co/openthaigpt/openthaigpt-1.0.0-alpha-7b-chat-ckpt-hf<br>
+**Weight (GGML)**: https://huggingface.co/openthaigpt/openthaigpt-1.0.0-alpha-7b-chat-ggml<br>
+**Weight (Quantized 4bit GGML)**: https://huggingface.co/openthaigpt/openthaigpt-1.0.0-alpha-7b-chat-ggml-q4
+## Sponsors
+Pantip.com, ThaiSC<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">
+### 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)
+* 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>