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@@ -28,7 +28,7 @@ We explore supervised multitask pre-training by proposing ***Instruction Pre-Tra
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  - Fine-Tuning Data for the Synthesizer: [ft-instruction-synthesizer-collection](https://huggingface.co/datasets/instruction-pretrain/ft-instruction-synthesizer-collection)
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  - General Models Pre-Trained from Scratch:
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  - [InstructLM-500M](https://huggingface.co/instruction-pretrain/InstructLM-500M)
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- - [InstructLLM-1.3B](https://huggingface.co/instruction-pretrain/InstructLLM-1.3B)
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  - Domain-Specific Models Pre-Trained from Llama3-8B:
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  - [Finance-Llama3-8B](https://huggingface.co/instruction-pretrain/finance-Llama3-8B)
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  - [Biomedicine-Llama3-8B](https://huggingface.co/instruction-pretrain/medicine-Llama3-8B)
 
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  - Fine-Tuning Data for the Synthesizer: [ft-instruction-synthesizer-collection](https://huggingface.co/datasets/instruction-pretrain/ft-instruction-synthesizer-collection)
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  - General Models Pre-Trained from Scratch:
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  - [InstructLM-500M](https://huggingface.co/instruction-pretrain/InstructLM-500M)
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+ - [InstructLM-1.3B](https://huggingface.co/instruction-pretrain/InstructLM-1.3B)
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  - Domain-Specific Models Pre-Trained from Llama3-8B:
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  - [Finance-Llama3-8B](https://huggingface.co/instruction-pretrain/finance-Llama3-8B)
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  - [Biomedicine-Llama3-8B](https://huggingface.co/instruction-pretrain/medicine-Llama3-8B)