# 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.
