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CLOVA models

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  • By Naver
    HyperCLOVA X THINK is Naver’s reasoning-focused LLM for Korean and English. Trained on ~6T tokens, it uses a Peri-LN Transformer with a three-stage pretrain (to 128K context) and post-training via SFT plus RL from verifiable rewards. It supports detailed-rationale or concise-answer modes and adds multimodal (text+vision) reasoning.
    Text
    Released 7mo ago
  • By Naver
    HyperCLOVA X SEED is NAVER’s lightweight, open-source line of models (0.5B, 1.5B, 3B parameters) aimed at commercial use. The “SEED Think 14B” version adds deeper reasoning, pruning/distillation, and advanced training so it can compete with much larger models while being more efficient.
    Text
    Released 9mo ago
  • By Naver
    HyperCLOVA X SEED Vision (3B) is NAVER’s lightweight multimodal model capable of understanding images and text (plus video frames) and answering in text. It supports visual question answering, chart/diagram interpretation, basic OCR, and works well with long-text context. It balances capability with efficiency.
    Text
    Released 9mo ago
  • By Naver
    CLOVA Voice is NAVER’s neural text-to-speech service for lifelike, multilingual voices. It offers natural prosody, style controls, SSML, real-time streaming, and brand-safe custom voice options—ready for apps, call centers, e-learning, and content creation.
    Audio
    Released 1y ago
  • By Naver
    CLOVA Voice EMR is NAVER’s clinical speech solution for hospitals and clinics. It transcribes doctor–patient conversations and dictations in real time, inserts medical terminology correctly, and formats notes for EMR systems—reducing after-visit paperwork while preserving accuracy and privacy.
    Audio
    Released 1y ago
  • By Naver
    Korean language model with 82B parameters.
    Text
    Released 4y ago

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