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doc(README): clarify that the model is intended as a demonstration and testbed

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  This is a parameter-efficient fine-tuning (PEFT) LoRA adapter trained on a structured DSL for recurrence interpretation, such as natural language like "every Monday at 10am" or "on the last Friday of each month". It translates natural recurrence expressions into structured function calls using a custom DSL (e.g., `WEEKLY(...)`, `MONTHLY_BY_WEEKDAY(...)`).
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  - **Model type:** LoRA adapter (PEFT)
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  - **Language(s):** English
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  - **License:** MIT
 
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  This is a parameter-efficient fine-tuning (PEFT) LoRA adapter trained on a structured DSL for recurrence interpretation, such as natural language like "every Monday at 10am" or "on the last Friday of each month". It translates natural recurrence expressions into structured function calls using a custom DSL (e.g., `WEEKLY(...)`, `MONTHLY_BY_WEEKDAY(...)`).
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+ This adapter is designed as a **demonstration and testbed** for structured recurrence parsing using the custom DSL.
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  - **Model type:** LoRA adapter (PEFT)
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  - **Language(s):** English
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  - **License:** MIT