Update model card

README.md

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+---
+library_name: lucid
+license: mit
+tags:
+  - base
+  - gpt
+  - lucid
+datasets:
+  - bookcorpus
+pipeline_tag: feature-extraction
+---
+
+# GPT
+
+> https://cdn.openai.com/research-covers/language-unsupervised/language_understanding_paper.pdf
+
+[Lucid](https://github.com/ChanLumerico/lucid) port of `transformers/openai-community/openai-gpt`,
+converted to Lucid-native safetensors.
+
+## Available weights
+
+| Tag | Params | GFLOPs | Size | Source |
+|---|---|---|---|---|
+| `BOOKCORPUS` *(default)* | 116.5M | — | 444.56 MB | transformers |
+
+## Usage
+
+```python
+import lucid
+import lucid.models as models
+from lucid.models.weights import GptWeights
+
+# default tag
+model = models.gpt(pretrained=True)
+
+# explicit tag (enum or string)
+model = models.gpt(weights=GptWeights.BOOKCORPUS)
+model = models.gpt(pretrained="BOOKCORPUS")
+
+# feed token ids (tokenize with the matching lucid.utils.tokenizer)
+input_ids = lucid.tensor([[101, 7592, 2088, 102]], dtype=lucid.int64)
+out = model(input_ids)
+hidden = out.last_hidden_state  # (B, T, hidden_size)
+```
+
+## Conversion
+
+Converted from `transformers/openai-community/openai-gpt` via
+`python -m tools.convert_weights gpt --tag BOOKCORPUS`.
+Key mapping + numerical parity verified against the source.
+
+## License
+
+`mit` — inherited from the original weights.
+
+## Citation
+
+```
+Radford et al., "Improving Language Understanding by Generative Pre-Training", 2018 (GPT).
+```