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OBLITERATUS/tests/fixtures/README.md
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# Offline model fixture
`tiny_offline_model.py` creates a one-layer, 4,480-parameter GPT-2 causal
language model and an eleven-token WordLevel tokenizer at test time. The model
is initialized from a fixed seed (`20260814`); it is not trained and contains
no downloaded weights or dataset content.
The generated artifact is repository-owned test data under the project's
AGPL-3.0-only license. Its purpose is software integration testing only. It
does not support research, safety, capability, or model-quality claims.
Tests must build the fixture inside pytest's temporary directory and load it
with Hugging Face offline mode enabled. Do not replace it with a Hub model or
depend on a pre-populated cache.