License clarification for SenseVoice-Small weights at a fixed revision (ONNX redistribution)
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Evaluación
- Dificultad
- 5/5
- Tiempo estimado
- Más de una semana
- Aptitud para principiantes
- 25/100
- Tipo de issue
- Documentación
- Claridad
- Bastante claro
- Estado de actividad
- Activo
Línea de trabajo
Comienza con las revisiones fijadas de redistribución de SenseVoice-Small y ONNX, y luego compara sus metadatos del modelo y el contenido de LICENSE con el MODEL_LICENSE versionado de FunASR. Revisa las issues relacionadas #3454 y #3458 para conocer el precedente del proyecto. Se considera terminado cuando los maintainers aclaren los términos aplicables o publiquen una revisión inmutable que contenga el texto de la licencia.
Escrito por el modelo de indexación a partir del texto del issue.
Descripción
Hello FunASR maintainers,
I am trying to establish what licence governs the SenseVoice-Small weights. This is a
licensing question only — no technical support needed.
The artefacts are pinned below so that an answer can be verifiable rather than general.
The artefacts
| ONNX redistribution | csukuangfj/sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17 |
| HF revision | 2365baeacb507f821a0c8120fcee3d484dba7a07 |
model.int8.onnx SHA-256 |
c71f0ce00bec95b07744e116345e33d8cbbe08cef896382cf907bf4b51a2cd51 |
tokens.txt SHA-256 |
f449eb28dc567533d7fa59be34e2abca8784f771850c78a47fb731a31429a1dc |
| Upstream weights | FunAudioLLM/SenseVoiceSmall, revision 3847d57b6bdf2dd8875cb1508d2af43d80a16bf7 |
Why the current metadata does not settle it
- The model card at that revision declares
license: other,license_name: model-license,
andlicense_link: https://github.com/modelscope/FunASR/blob/main/MODEL_LICENSE. That
link points at a branch, not a commit, so it does not fix which text applies. - The ONNX redistribution above ships a
LICENSEwhose entire content is
Ref to https://github.com/modelscope/FunASR?tab=readme-ov-file#license— a pointer to
a README section, not to a licence file or a commit. MODEL_LICENSEis versioned (currently v1.1) and amends itself: "The revised
agreement will be published in the official repository … and will take effect
automatically." With an unpinned link, a downstream user cannot establish which
version they accepted.- §2.1 grants "free to use, copy, modify, and share" with no commercial carve-out, while
the following paragraph says the software "is provided for reference and learning
purposes only". I cannot tell from the text whether that phrase limits the scope of the
grant or is part of the liability disclaimer that surrounds it.
Questions
- For the pinned revision above, is
MODEL_LICENSEv1.1 the applicable licence for
the weight files, and does it covermodel.int8.onnxandtokens.txtas listed? - Does "provided for reference and learning purposes only" limit permitted use, or is it
part of the disclaimer of warranty? Specifically: is commercial use permitted? - Does the agreement permit redistributing the weight files — for example bundled
inside software delivered to end users — and if so, what satisfies §2.2's "retain
relevant model names"? - Is running the model as a service that returns only recognition results, never the
weights, treated differently from redistributing them? - Are format conversion and quantisation derivative works under this agreement, and
are they permitted? - Does the automatic-amendment clause apply retroactively to a copy obtained under v1.1,
or do the terms accepted at download time continue to govern that copy? - Are there any obligations or attribution requirements arising from the training data
that are not stated inMODEL_LICENSE?
A suggested resolution
#3454 was resolved by cutting a new
immutable revision containing an actual licence file, tagged apache-2.0-20260804, rather
than by rewriting history. The same approach would work here: a pinned revision of the
SenseVoice-Small weights that carries the applicable licence text would let downstream
users verify their position without having to ask.
#3458 raises the same structural
question for four other models and is still open.
Thank you for the clear position taken in #3454 — that the code repository's licence does
not automatically cover model weights — which is what prompted me to ask precisely rather
than assume.
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Guía de contribución
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
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- Abre un pull request que haga referencia al número del issue.
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