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LatestKRAFTON1.0
KRAFTONAny-to-Any

KRAFTON Releases 9B Bilingual Speech Model

The gaming giant behind 'PUBG' has released Raon-Speech-9B, a multimodal model for English and Korean speech recognition and synthesis.

Mar 30, 2026
NotableCC BY-NC 4.0
Raon-Speech-9B

South Korean game developer KRAFTON, best known for the hit title PUBG: Battlegrounds, has released a new open-source AI model focused on audio. The new model, named Raon-Speech-9B, is a 9-billion-parameter system designed for a range of multimodal speech tasks.

The model is bilingual, supporting both English and Korean. Its core capabilities include automatic speech recognition (ASR), which converts spoken language to text, and text-to-speech (TTS) synthesis for generating spoken audio from text. This dual functionality makes it a versatile tool for building sophisticated voice-based applications.

Raon-Speech-9B is a notable release from a company primarily known for gaming, highlighting a broader trend of specialized industries contributing significant models to the open-source community. Its strong support for Korean is also a welcome addition, providing high-quality resources for a language often underserved by major model releases.

KRAFTON has made the model available for research and experimentation on its Hugging Face repository. It is released under the Creative Commons Attribution-NonCommercial 4.0 license, which allows for broad non-commercial use and adaptation.

Sources

  • KRAFTON/Raon-Speech-9B

    Hugging Face

    Visit
OlderOmniVoice TTS Offers Zero-Shot Multilingual Voice Cloningk2-fsa · Text → Speech · 7 months agoNewerJD.com Releases Open-Source Bilingual Image EditorJD · Image Editing · 7 months ago

Get the model

Hugging Face

Specs

Parameters9B
Size18.1 GB
PrecisionBF16
ArchitectureRaonModel
LicenseCC-BY-NC-4.0
Downloads2.6K
Likes62

Can you run it?

Runs on a laptop — about 7.6 GB at 4-bit.

  • BF16 (as published)

    24 GB GPU (RTX 3090 / 4090) · 32 GB Mac

    20.3 GB
  • 8-bit

    12 GB GPU (RTX 3060 / 4070) · 16 GB Mac

    11.8 GB
  • 4-bit

    8 GB GPU (RTX 4060) · 16 GB laptop or Mac

    7.6 GB
Your machine
  • KV cache approximated from model size (no config metadata) at 8,192 tokens.

Based on Hugging Face weights metadata. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Any-to-AnyText → SpeechSpeech → Text

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