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openthaigpt/openthaigpt-r1-32b-instruct-GGUF

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<div align="center"> <img src="https://huggingface.co/spaces/openthaigpt/README/resolve/main/openthai-logo-white.png" width="160" alt="OpenThai">

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

FileQuantSizeNotes
openthaigpt-r1-32b-instruct.Q4_K_M.ggufQ4KM~20 GBRecommended. Best size/quality tradeoff; fits a 24 GB GPU.
openthaigpt-r1-32b-instruct.Q5_K_M.ggufQ5KM~23 GBHigher quality, needs a little more headroom.
openthaigpt-r1-32b-instruct.Q8_0.ggufQ8_0~35 GBNear-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

bash
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 70BTyphoon R1 70B
AIME24-TH56.6733.3353.33
AIME2463.3653.3353.33
MATH500-TH83.8075.4081.00
LiveCodeBench-TH62.1653.1547.75
LiveCodeBench69.6764.9754.79
OpenThaiEval76.0574.1777.59
Average71.5863.3165.42

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.