openthaigpt/openthaigpt-r1-32b-instruct-GGUF
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OpenThaiGPT R1 32B — GGUF
Official GGUF quantizations of openthaigpt/openthaigpt-r1-32b-instruct
Website · Discord · Paper </div>
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
Usage
llama.cpp
llama-cli -m openthaigpt-r1-32b-instruct.Q4_K_M.gguf \
-p "อธิบายความแตกต่างระหว่างสัญญาซื้อขายกับสัญญาเช่าซื้อ" \
-n 4096 --temp 0.6 --top-p 0.95Ollama
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
Quantization costs some accuracy; these figures are from the full-precision model.
Citation
@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.
