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; the copyright notice, additional permission and the source form of model weights are defined in 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 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 | Frozen V1/V2 web sentence corpus, also used by V4; ODC-By 1.0, subject to the Common Crawl Terms of Use |
| Tatoeba | Japanese sentence corpus; CC BY 2.0 FR unless marked CC0; per-sentence attribution remains with local source records |
| AdaMLLab/JpnMix | Selected minhash_deduped pool for V3; mixed upstream sources retain their respective terms |
| RealPersonaChat | Real-dialogue V3/V4 training source, CC-BY-SA 4.0 |
| Multi-Relational Multi-Party Chat Corpus | Real-dialogue V3/V4 training source, CC-BY-SA 4.0 |
| AJIMEE-Bench | JWTD v2 evaluation text, CC-BY-SA 3.0; official tool code, CC0 1.0 |
| 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 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 | 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, RiSAWOZ, KdConv | Chinese IME evaluation sources; Apache-2.0, MIT, Apache-2.0 |
| 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.