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Sponsored by
Vmake Labs Video Enhancer
llm-jp / llm-jp-moshi-v1
Model's Last Updated: February 25 2026
Introduction of llm-jp-moshi-v1
Model Details of llm-jp-moshi-v1
LLM-jp-Moshi-v1は，日本語におけるfull-duplex音声対話システムです．英語における7Bパラメータのfull-duplex音声対話モデル Moshi をベースとし，日本語音声対話データでの追加学習によって構築されました．
このリポジトリでは，LLM-jp-Moshi-v1モデルを紹介します．
これらのモデルは試作段階であり，その応答は不自然な場合があります．
Models
LLM-jp-Moshi-v1
-
🤗
llm-jp/llm-jp-moshi-v1
- kyutai/moshiko-pytorch-bf16 をベースとし， J-CHAT と LLM-jp-Zoom1 によって学習されたモデル
リポジトリには，以下のモデルファイルが含まれています:
-
model.safetensors- LLM-jp-Moshi-v1本体の重み -
tokenizer_spm_32k_3.model- テキストトークナイザ（ rinna/japanese-gpt2-medium の日本語SentencePieceモデル） -
tokenizer-e351c8d8-checkpoint125.safetensors- 音声トークナイザ（ kyutai/moshiko-pytorch-bf16 のMimiモデル）
Interactive Demo
Kyutai公式の MoshiのPyTorch実装 を用いて，LLM-jp-Moshi-v1と対話することができます．実装の詳細は，オリジナルMoshiのリポジトリ kyutai-labs/moshi を参照してください．
Installation
Python 3.10以上が必要です．
pip install moshi<=0.2.2 sphn==0.1.12
Usage
moshi.server
を実行することで，対話用のweb UIを起動できます．
--hf-repo
オプションでLLM-jp-Moshi-v1の 🤗HuggingFace Hubリポジトリ（
llm-jp/llm-jp-moshi-v1
）を指定してください．
python -m moshi.server --hf-repo llm-jp/llm-jp-moshi-v1
Tips
- 実行には，24GB以上のVRAMを搭載したLinux GPUマシンが必要です．MacOSには対応していません．
- モデルの発話音声がエコーすることを避けるため，対話時にはスピーカではなくイヤホン・ヘッドホンを使用してください．音声デバイスはweb UIアクセス時にブラウザ上で設定できます．
Training Details
-
音声対話コーパス
- J-CHAT ：ポッドキャストによる対話データ（約69,000時間）
-
LLM-jp-Zoom1：Zoomによるオンライン対話データ（約1,000時間）
- LLM-jpにて独自に収集したZoomでの雑談対話データ（近日公開予定）
Terms of Use
LLM-jp-Moshi-v1 は Apache License, Version 2.0 の下で公開されています． 本モデルは，なりすましや詐欺などの悪意ある目的での使用を意図したものではありません．また，本モデルの出力には，学習データに起因するバイアス，不正確な情報，または不適切もしくは攻撃的な内容が含まれる可能性があります． 我々はその使用によって生じるいかなる損害についても責任を負いません．
Acknowledgments
本研究では，国立研究開発法人産業技術総合研究所および株式会社AIST Solutionsが提供するAI橋渡しクラウド（ABCI）3.0を，「ABCI 3.0開発加速利用」の支援を受けて実施しました． また，ベースモデルであるMoshiおよびテクニカルペーパーを公開されたKyutai Labs，ならびにJ-CHATデータセットを公開された研究者の皆様に深く感謝の意を表します．
Citation
@inproceedings{abe2026effects,
title={Effects of dialogue corpora properties on fine-tuning a {M}oshi-based spoken dialogue model},
author={Abe, Yuto and Saeki, Mao and Ohashi, Atsumoto and Takamichi, Shinnosuke and Fujie, Shinya and Kobayashi, Tetsunori and Ogawa, Tetsuji and Higashinaka, Ryuichiro},
booktitle={Proc. International Workshop on Spoken Dialogue Systems (IWSDS)},
pages={104–108},
year={2026},
month={Feb}
}
@inproceedings{abe2026moshi,
title={Moshi音声対話モデルの日本語ファインチューニングにおける対話データ特性の影響},
author={阿部雄斗 and 佐伯真於 and 大橋厚元 and 高道慎之介 and 藤江真也 and 小林哲則 and 小川哲司 and 東中竜一郎},
booktitle={日本音響学会研究発表会講演論文集},
year={2026},
month={Mar}
}
Runs of llm-jp llm-jp-moshi-v1 on huggingface.co
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More Information About llm-jp-moshi-v1 huggingface.co Model
Url of llm-jp-moshi-v1
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