15 models
Unofficial of OpenThaiGPT on Ollama (https://huggingface.co/openthaigpt/openthaigpt-1.0.0-7b-chat)
Unofficial OpenThaiGPT 1.5-7B-Instruct Q4_K_M Quantization (https://huggingface.co/openthaigpt/openthaigpt1.5-7b-instruct)
Unofficial OpenThaiGPT 1.5-14B-Instruct Q4_K_M Quantization (https://huggingface.co/openthaigpt/openthaigpt1.5-14b-instruct)
Unofficial of 🇹🇭 OpenThaiGPT, Thai language chat models based on LLaMA on Ollama. (https://huggingface.co/collections/openthaigpt/openthaigpt-100-661a7a5920f5d49d132cf709)
Unofficial of OpenThaiGPT Thai LLMs (13b params) on Ollama (https://huggingface.co/openthaigpt/openthaigpt-1.0.0-13b-chat)
OpenThai's general-purpose flagship — 98.2% Thai language accuracy, strongest of the family at Thai coding. ~48 GB RAM/VRAM.
The smallest OpenThai model — Thai chat on an ordinary laptop (~8 GB RAM). Fine-tuned on 2M+ Thai instruction pairs; multi-turn, RAG and tool calling.
Thai legal LLM that cites the exact law name and section (มาตรา). 30B MoE, ~3B active per token — runs in ~24 GB. Best paired with retrieval (RAG). Decision support, not legal advice.
Tenno Naruhito speech on Claude.AI and ChatGPT.com/@rohrdorf