---

license: other

license_name: qwen

language:

• th
• en

base_model: openthaigpt/openthaigpt-1.6-72b-instruct

pipeline_tag: text-generation

library_name: gguf

tags:

• thai
• openthai
• gguf
• llama.cpp

---

<div align="center">

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

OpenThaiGPT 1.6 72B — GGUF

Official GGUF quantizations of openthaigpt/openthaigpt-1.6-72b-instruct

Website · Leaderboard · Discord · Paper

</div>

The general-purpose workhorse of the OpenThai family — 98.2% Thai language accuracy,

strongest of the family on Thai coding (LiveCodeBench-TH 32.43). These are the official

quantizations, built from the source weights by the OpenThai team.

For step-by-step reasoning use

R1 32B — smaller

and better at it. For a laptop, use

1.5 7B.

Quants

| File | Quant | Size | Notes |

|---|---|---|---|

| openthaigpt-1.6-72b-instruct.Q4_K_M.gguf | Q4_K_M | ~44 GB | Recommended. 2× 24 GB GPUs or a 64 GB Mac. |

| openthaigpt-1.6-72b-instruct.Q5_K_M.gguf | Q5_K_M | ~51 GB | Higher quality. |

| openthaigpt-1.6-72b-instruct.Q8_0.gguf | Q8_0 | ~77 GB | Near-lossless. |

Usage

Ollama

ollama run hf.co/openthaigpt/openthaigpt-1.6-72b-instruct-GGUF:Q4_K_M

llama.cpp

llama-cli -m openthaigpt-1.6-72b-instruct.Q4_K_M.gguf \
  -p "เขียนฟังก์ชัน Python แปลงเลขไทยเป็นเลขอารบิก พร้อมอธิบายโค้ด" -n 2048 --temp 0.7

Uses the ChatML template (<|im_start|> / <|im_end|>), embedded in the GGUF.

Recommended sampling: temperature=0.7, top_p=0.9.

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.*