🌟 OpenThaiGPT 1.6 72b
OpenThaiGPT 1.6 72b is a 72-billion-parameter Thai language model designed for general-purpose tasks with strong analytical thinking capabilities. Building on the foundation of OpenThaiGPT 1.5, this latest release demonstrates improved performance across a wide range of benchmarks, particularly in coding and general language tasks.
Download the model
OpenThaiGPT 1.6 72b — Hugging Facehuggingface.co
openthaigpt/openthaigpt-1.6-72b-instruct
Highlights
- Advanced Thai language model with 72 billion parameters
- Strong analytical thinking capabilities in both Thai and English
- Improved performance compared to previous OpenThaiGPT releases
- Balanced capabilities across mathematics, coding, and general language tasks
- Deep understanding of the Thai language and cultural context
Key improvements over 1.5
Compared to OpenThaiGPT 1.5 72b, version 1.6 demonstrates:
- Substantially improved coding performance in both Thai (LiveCodeBench-TH: 32.43 vs 12.61) and English (LiveCodeBench: 54.21 vs 46.38)
- Comparable general language understanding with language accuracy as high as 98.2%
- Better balanced capabilities between mathematics and coding tasks
Benchmark results
| Benchmarks | OpenThaiGPT 1.6 72b | OpenThaiGPT 1.5 7b | OpenThaiGPT 1.5 14b | OpenThaiGPT 1.5 72b | Typhoon2 Qwen2.5 7b | Typhoon2 Llama3.1 8b | Typhoon2 Llama3.1 70b | NECTEC Pathumma LLM Text 1.0.0 7b |
|---|---|---|---|---|---|---|---|---|
| AIME24-TH | 6.67 | 0 | 0 | 6.67 | 3.33 | 3.33 | 13.33 | 0 |
| AIME24 | 23.33 | 6.67 | 10 | 23.33 | 6.67 | 3.33 | 10 | 0 |
| MATH500-TH | 43.2 | 24.2 | 26.2 | 62 | 51.8 | 31 | 55.8 | 21.8 |
| MATH500 | 82 | 40.4 | 47.4 | 83.2 | 65.4 | 49.6 | 67.4 | 42.8 |
| LiveCodeBench-TH | 32.43 | 22.52 | 21.62 | 12.61 | 9.91 | 8.11 | 27.03 | 0 |
| LiveCodeBench | 54.21 | 31.12 | 37.96 | 46.38 | 0.98 | 5.87 | 37.38 | 0 |
| OpenThaiEval | 78.7 | 64.5 | 71.26 | 77.16 | 64.76 | 56.63 | 72.54 | 65.27 |
| Language Accuracy | 98.2 | 97.6 | 98.4 | 99.4 | 99.4 | 98.6 | 99.8 | 98.6 |
| AVERAGE | 52.34 | 35.88 | 39.11 | 51.34 | 37.78 | 32.06 | 47.91 | 28.56 |
Technical report
OpenThaiGPT 1.6 and R1 Technical Report — arXivarxiv.org
If OpenThaiGPT has been beneficial for your work, kindly consider citing it as follows:
@misc{yuenyong2025openthaigpt16r1thaicentric,
title={OpenThaiGPT 1.6 and R1: Thai-Centric Open Source and Reasoning Large Language Models},
author={Sumeth Yuenyong and Thodsaporn Chay-intr and Kobkrit Viriyayudhakorn},
year={2025},
eprint={2504.01789},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2504.01789},
}
How to use
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
model_name = "openthaigpt/openthaigpt-1.6-72b"
model = AutoModelForCausalLM.from_pretrained(
model_name,
torch_dtype="auto",
device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained(model_name)
prompt = "กรุงเทพมหานครคืออะไร"
messages = [
{"role": "user", "content": prompt}
]
text = tokenizer.apply_chat_template(
messages,
tokenize=False,
add_generation_prompt=True
)
model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
generated_ids = model.generate(
**model_inputs,
max_new_tokens=8192,
temperature=0.6
)
generated_ids = [
output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
]
response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
vLLM
- Install vLLM (vllm-project/vllm)
- Run server
vllm serve openthaigpt/openthaigpt-1.6-72b --tensor-parallel-size 2
- Note, change
--tensor-parallel-size 2to the amount of available GPU cards.
- Run inference (CURL example)
curl -X POST 'http://127.0.0.1:8000/v1/chat/completions' \
-H 'Content-Type: application/json' \
-d '{
"model": "openthaigpt/openthaigpt-1.6-72b",
"messages": [
{
"role": "user",
"content": "กรุงเทพมหานครคืออะไร"
}
],
"max_tokens": 4096,
"temperature": 0.6,
"top_p": 0.95,
"top_k": 40
}'
GPU memory requirements
| Number of Parameters | FP 16 bits | 8 bits (Quantized) | 4 bits (Quantized) |
|---|---|---|---|
| 72b | 144 GB | 72 GB | 36 GB |
License
- This model is available for research and commercial use under the terms of the Qwen2.5 license agreement. Please refer to the LICENSE file for more information.
Support
- Official website: openthai.aieat.or.th
- Facebook page: OpenThaiGPT Group
- Discord server for discussion and support: discord.gg/7KDdKkBGUs
- Email: kobkrit@iapp.co.th
Disclaimer: Provided responses are not guaranteed.