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@@ -63,7 +63,7 @@ We open-source our custom multi-document instruction scoring model, MDCureRM, as
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  | Model | Huggingface Repo | Description |
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  |---------------------------|---------------------|------------------------------|
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- | **MDCureRM** | [πŸ€— HF Repo](https://huggingface.co/yale-nlp/MDCureRM) | Multi-objective reward model to score and filter MD instruction data more cheaply and effectively than GPT-3.5-Turbo. |
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  | **MDCure-FlanT5-Base** | [πŸ€— HF Repo](https://huggingface.co/yale-nlp/MDCure-FlanT5-Base) | **FlanT5-Base** fine-tuned with MDCure-72k |
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  | **MDCure-FlanT5-Large** | [πŸ€— HF Repo](https://huggingface.co/yale-nlp/MDCure-FlanT5-Large) | **FlanT5-Large** fine-tuned with MDCure-72k |
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  | **MDCure-Qwen2-1.5B-Instruct** | [πŸ€— HF Repo](https://huggingface.co/yale-nlp/MDCure-Qwen2-1.5B-Instruct) | **Qwen2-1.5B-Instruct** fine-tuned with MDCure-72k |
 
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  | Model | Huggingface Repo | Description |
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  |---------------------------|---------------------|------------------------------|
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+ | **MDCureRM** | [πŸ€— HF Repo](https://huggingface.co/yale-nlp/MDCureRM) | Multi-objective reward model to score and filter MD instruction data more cheaply and effectively than GPT-3.5-Turbo |
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  | **MDCure-FlanT5-Base** | [πŸ€— HF Repo](https://huggingface.co/yale-nlp/MDCure-FlanT5-Base) | **FlanT5-Base** fine-tuned with MDCure-72k |
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  | **MDCure-FlanT5-Large** | [πŸ€— HF Repo](https://huggingface.co/yale-nlp/MDCure-FlanT5-Large) | **FlanT5-Large** fine-tuned with MDCure-72k |
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  | **MDCure-Qwen2-1.5B-Instruct** | [πŸ€— HF Repo](https://huggingface.co/yale-nlp/MDCure-Qwen2-1.5B-Instruct) | **Qwen2-1.5B-Instruct** fine-tuned with MDCure-72k |