metadata

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

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

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

Colab Demo: https://colab.research.google.com/drive/1kDQidCtY9lDpk49i7P3JjLAcJM04lawu?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-alpha-7b-chat
Weight (Huggingface Checkpoint): https://huggingface.co/openthaigpt/openthaigpt-1.0.0-alpha-7b-chat-ckpt-hf
Weight (GGML): https://huggingface.co/openthaigpt/openthaigpt-1.0.0-alpha-7b-chat-ggml
Weight (Quantized 4bit GGML): https://huggingface.co/openthaigpt/openthaigpt-1.0.0-alpha-7b-chat-ggml-q4

Sponsors

Pantip.com, ThaiSC

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)
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.