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  # RA-IT-NER-8B
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- **Description**: The RA-IT-NER-8B model is trained from LLama3-8B using the proposed Retrieval Augmented Instruction Tuning (RA-IT) approach. The training data is the [Pile-NER-type](https://huggingface.co/datasets/Universal-NER/Pile-NER-type) presented by [UniversalNER](https://arxiv.org/abs/2308.03279).
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- Check our [paper](todo) for more information. Check our [github repo](https://github.com/Emma1066/Retrieval-Augmented-IT-OpenNER) about how to use the model.
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  ## Inference
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  The template for inference instances is as follows:
 
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  # RA-IT-NER-8B
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+ **Description**: The RA-IT-NER-8B model is trained from LLama3-8B using the proposed Retrieval Augmented Instruction Tuning (RA-IT) approach. This model can be used for English Open NER with and without RAG. The training data is the [Pile-NER-type](https://huggingface.co/datasets/Universal-NER/Pile-NER-type) presented by [UniversalNER](https://arxiv.org/abs/2308.03279).
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+ Check our [paper](https://arxiv.org/abs/2406.17305) for more information. Check our [github repo](https://github.com/Emma1066/Retrieval-Augmented-IT-OpenNER) about how to use the model.
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  ## Inference
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  The template for inference instances is as follows: