A Thai reasoning model that shows its work — and beats 70B models at less than half their size. These are the official quantizations, built from the source weights by the OpenThai team.

Quants

File	Quant	Size	Notes
`openthaigpt-r1-32b-instruct.Q4_K_M.gguf`	Q4_K_M	~20 GB	Recommended. Best size/quality tradeoff; fits a 24 GB GPU.
`openthaigpt-r1-32b-instruct.Q5_K_M.gguf`	Q5_K_M	~23 GB	Higher quality, needs a little more headroom.
`openthaigpt-r1-32b-instruct.Q8_0.gguf`	Q8_0	~35 GB	Near-lossless. For quality-sensitive evaluation.

Usage

llama.cpp

bash

llama-cli -m openthaigpt-r1-32b-instruct.Q4_K_M.gguf \
  -p "อธิบายความแตกต่างระหว่างสัญญาซื้อขายกับสัญญาเช่าซื้อ" \
  -n 4096 --temp 0.6 --top-p 0.95

Ollama

ollama run hf.co/openthaigpt/openthaigpt-r1-32b-instruct-GGUF:Q4_K_M

⚠️ Chat template

This model uses the DeepSeek-R1 template (<｜User｜> / <｜Assistant｜>), not ChatML. Serving it with ChatML produces degraded output that looks superficially correct. The template is embedded in these GGUF files, so llama.cpp and Ollama pick it up automatically — but if you build your own prompt string, use the DeepSeek format.

Recommended sampling: temperature=0.6, top_p=0.95, top_k=40. The upstream card recommends no system prompt for this model.

Benchmarks

Benchmark	OpenThaiGPT R1 32B	DeepSeek R1 70B	Typhoon R1 70B
AIME24-TH	56.67	33.33	53.33
AIME24	63.36	53.33	53.33
MATH500-TH	83.80	75.40	81.00
LiveCodeBench-TH	62.16	53.15	47.75
LiveCodeBench	69.67	64.97	54.79
OpenThaiEval	76.05	74.17	77.59
Average	71.58	63.31	65.42

Quantization costs some accuracy; these figures are from the full-precision model.

Citation

bibtex

@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}
}

OpenThai (formerly OpenThaiGPT) — free, open-weight Thai large language models from AIEAT and iApp Technology. With thanks to the community members who published unofficial GGUF conversions before these existed.