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@@ -28,5 +28,7 @@ To enhance the model's proficiency in real chat scenarios, we utilize a diverse
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  This dataset serves as the foundation for training CrystalCoder and supports further reproduction. For training from scratch, please refer to our [training codes](https://github.com/LLM360/crystalcoder-train). For training from middle checkpoints, please load the dataloader states in checkpoints and follow [this tutorial](https://docs.cerebras.net/en/latest/wsc/tutorials/dataloader-checkpointing.html).
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- **License:** Apache 2.0
 
 
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  This dataset serves as the foundation for training CrystalCoder and supports further reproduction. For training from scratch, please refer to our [training codes](https://github.com/LLM360/crystalcoder-train). For training from middle checkpoints, please load the dataloader states in checkpoints and follow [this tutorial](https://docs.cerebras.net/en/latest/wsc/tutorials/dataloader-checkpointing.html).
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+ # License
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+ Pretraining data in langauge model mostly comes from a collection of data sources with various licenses. Any use of all or part of the data here must abide by the terms of the original licenses, including attribution clauses when relevant. We refer users to [SlimPajama dataset](https://huggingface.co/datasets/cerebras/SlimPajama-627B) and [StarCoder](https://huggingface.co/datasets/bigcode/starcoderdata) for detailed license attribution.
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