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@@ -22,6 +22,9 @@ It is a compact, educational decoder-only Transformer (~2M parameters) built wit
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  plain PyTorch — no `transformers` modeling class — intended for learning and for
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  lightweight log anomaly detection.
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  ## Model details
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  - **Architecture:** decoder-only Transformer (GPT-style), causal self-attention,
 
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  plain PyTorch — no `transformers` modeling class — intended for learning and for
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  lightweight log anomaly detection.
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+ > 🚀 **Try the live demo:** https://log-sentry-lm.streamlit.app/ — paste log lines
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+ > and see them scored in real time.
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+
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  ## Model details
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  - **Architecture:** decoder-only Transformer (GPT-style), causal self-attention,