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RT by @NVIDIAAI: Motif 3 is officially here. Today, we’re releasing Motif 3 Base and Motif 3. Motif…

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TL;DR - Motif Technologies (amplified by NVIDIA AI) released Motif 3, a new open-weight LLM family comprising a pretrained base model and a post-trained variant, positioning itself as a Korean entrant into the frontier LLM race. It matters as another sovereign-AI-backed foundation model shipping with full weights, a technical report, and a quantized deployment path.

  • Two checkpoints released: Motif 3 Base (pretrained foundation model) and Motif 3 (post-trained on top of Base using NVIDIA NeMo-RL).
  • Trained on NVIDIA B200 GPUs with support from Korea's Ministry of Science — a state-backed sovereign LLM effort.
  • An NVFP4 (4-bit floating point) variant was produced in collaboration with NVIDIA, targeting efficient Blackwell-era inference.
  • All weights are distributed via Hugging Face, accompanied by a technical report and blog post; the announcement cites no benchmark numbers, so capability claims are unverified here.

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RT by @NVIDIAAI: Motif 3 is officially here. Today, we’re releasing Motif 3 Base and Motif 3. Motif…

@motif_tech 2026-08-11
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Providers: Hugging Face · N/A OpenAlex · N/A Publisher · N/A Semantic Scholar · N/A X · N/A Fetched 2026-09-09 14:18:02.628904 UTC

TL;DR - Motif Technologies (amplified by NVIDIA AI) released Motif 3, a new open-weight LLM family comprising a pretrained base model and a post-trained variant, positioning itself as a Korean entrant into the frontier LLM race. It matters as another sovereign-AI-backed foundation model shipping with full weights, a technical report, and a quantized deployment path.

  • Two checkpoints released: Motif 3 Base (pretrained foundation model) and Motif 3 (post-trained on top of Base using NVIDIA NeMo-RL).
  • Trained on NVIDIA B200 GPUs with support from Korea's Ministry of Science — a state-backed sovereign LLM effort.
  • An NVFP4 (4-bit floating point) variant was produced in collaboration with NVIDIA, targeting efficient Blackwell-era inference.
  • All weights are distributed via Hugging Face, accompanied by a technical report and blog post; the announcement cites no benchmark numbers, so capability claims are unverified here.
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