Which licence questions should a model lab resolve before using a release?
A lab should clarify permitted training, evaluation, redistribution and publication uses because different downstream activities may require different agreed rights.
**Does access settle every downstream use?**
A buyer should not assume that it does. Ask which uses the proposed licence would permit, including pretraining, fine-tuning, evaluation, internal research and use in commercially deployed systems. These are questions to resolve, not statements of MirrorFirm's terms.
**What about derived artefacts?**
Clarify how the proposed agreement treats transformed datasets, model-generated responses, evaluation traces and trained model weights. A lab may handle each differently, so a broad reference to derived material can leave practical uncertainty.
**Can collaborators receive the material?**
Ask about access by contractors, affiliated entities and external research collaborators. Specify whether they need full records, task instructions or only aggregate findings.
**Can results be published?**
Distinguish publishing evaluation findings from redistributing prompts, answers or complete environment assets. A public paper or downloadable demonstration may expose more material than an internal experiment.
**What is the useful first step?**
Prepare a short intended-use statement covering users, systems and planned outputs. MirrorFirm and the buyer can then discuss licensing against concrete activities without inventing commercial terms or assuming permissions from the delivery format.
Map the intended uses to explicit licence questions before moving generated material across research and product workflows.
- Audience:
- Model labs
- Content type:
- FAQ
- Buyer question:
- Scope and getting started
Content release: r-a220eb6e099b243b
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