# Licensing and attribution ## Project and models Original VimeML code and published V1/V2.1/V4.2 and vimeml-tiny-zh-v1 weights, tokenizers and Core ML packages use GPL-3.0-or-later with an additional permission under GPLv3 section 7 for conveyance through application distribution services such as the App Store. The License is in [LICENSE](LICENSE); the copyright notice, additional permission and the source form of model weights are defined in [LICENSE-EXCEPTION](LICENSE-EXCEPTION). Until 2026-10-22 the project used GPL-2.0-only; copies received under those terms keep them. V4.2 was trained in part on RealPersonaChat and Multi-Relational Multi-Party Chat Corpus dialogue text (CC BY-SA 4.0, nu-dialogue). Its model card attributes both sources. GPLv3 is a Creative Commons designated compatible license for BY-SA 4.0 adaptations, so V4.2 releases keep that attribution with the GPLv3 terms. A dataset's source license is independent of the project license. This repository does not redistribute the private training corpora or benchmark text. ## Attribution for deployed models Applications that bundle V2.1, V4.2 or vimeml-tiny-zh-v1 must show the model license and the following attribution; the Vime client shows it under About Vime → Open Source Licenses. | Model | Training sources and terms | | --- | --- | | V2.1 | FineWeb2-Edu Japanese (Yuichi Tateno; derived from FineWeb2 and Common Crawl), ODC-By 1.0 and Common Crawl Terms of Use; Tatoeba Japanese sentences (Tatoeba contributors), CC BY 2.0 FR unless marked CC0 | | V4.2 | The V2.1 sources, plus RealPersonaChat and Multi-Relational Multi-Party Chat Corpus (nu-dialogue), CC BY-SA 4.0 | | vimeml-tiny-zh-v1 | FineWeb2 `cmn_Hani` (Hugging Face; derived from Common Crawl), ODC-By 1.0 and Common Crawl Terms of Use; LCCC-base (thu-coai; Wang et al., *A Large-Scale Chinese Short-Text Conversation Dataset*, NLPCC 2020), MIT, with a README disclaimer that the dataset and pretrained dialogue models are for research purposes | Evaluation-only sources in the table below do not enter model weights. ## Third-party software The vendored [SentencePiece bridge](examples/ios/VimeSentencePiece/UPSTREAM.md) is based on SentencePiece 0.2.1 and retains Apache-2.0 and its dependency notices. Upstream license files and generated sources are preserved. AzooKey is an external converter dependency; converter and dictionary revisions are recorded in benchmark manifests. ## Data sources | Source | Recorded use and attribution | | --- | --- | | [FineWeb2-Edu Japanese](https://huggingface.co/datasets/hotchpotch/fineweb-2-edu-japanese) | Frozen V1/V2 web sentence corpus, also used by V4; ODC-By 1.0, subject to the Common Crawl Terms of Use | | [Tatoeba](https://tatoeba.org/en/terms_of_use) | Japanese sentence corpus; CC BY 2.0 FR unless marked CC0; per-sentence attribution remains with local source records | | [AdaMLLab/JpnMix](https://huggingface.co/datasets/AdaMLLab/JpnMix) | Selected `minhash_deduped` pool for V3; mixed upstream sources retain their respective terms | | [RealPersonaChat](https://github.com/nu-dialogue/real-persona-chat) | Real-dialogue V3/V4 training source, CC-BY-SA 4.0 | | [Multi-Relational Multi-Party Chat Corpus](https://github.com/nu-dialogue/multi-relational-multi-party-chat-corpus) | Real-dialogue V3/V4 training source, CC-BY-SA 4.0 | | [AJIMEE-Bench](https://github.com/azooKey/AJIMEE-Bench) | JWTD v2 evaluation text, CC-BY-SA 3.0; official tool code, CC0 1.0 | | [WRIME](https://github.com/ids-cv/wrime) | Standard IME evaluation source, CC-BY-NC-ND 4.0 | | JMultiWOZ | Standard IME evaluation source, CC-BY-SA 4.0; local source notices record attribution | | [FineWeb2](https://huggingface.co/datasets/HuggingFaceFW/fineweb-2) `cmn_Hani` | vimeml-tiny-zh-v1 web text (21 of 370 train files, cleaned and reviewed); ODC-By 1.0, subject to the Common Crawl Terms of Use | | [LCCC-base](https://github.com/thu-coai/CDial-GPT) | vimeml-tiny-zh-v1 dialogue text (about 5% of supervised tokens); MIT; the README disclaimer states research-only use of the dataset and pretrained dialogue models | | [CrossWOZ](https://github.com/thu-coai/CrossWOZ), [RiSAWOZ](https://github.com/terryqj0107/RiSAWOZ), [KdConv](https://github.com/thu-coai/KdConv) | Chinese IME evaluation sources; Apache-2.0, MIT, Apache-2.0 | | [CPED](https://github.com/scutcyr/CPED) | Chinese prediction evaluation source; Apache-2.0 repository license; television dialogue, kept local | WRIME-derived and JMultiWOZ-derived benchmark texts are restricted to the recorded private research exchange and are not published with this repository or model releases. Local notices and source-level attribution accompany private artifacts. Aggregate scores do not confer permission to redistribute underlying texts or candidate exports. The project GPL license does not relicense upstream datasets or vendored components.