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  This model is fine-tuned on the Qwen1.5-4B-Chat model and COIG-CQIA/ruozhiba dataset by QLoRA.
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- Be noted that the model file contains the adapter LoRA weights only, so you are suggested to merge adapters with the base model for inference usage. Check the official reference [here](https://huggingface.co/Ti-ger/Qwen1.5-4B-CQIA)
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  This whole training process is running on Google Colab with free computing resources, detail can be accessed via [link](https://colab.research.google.com/drive/1GiI8drsinxhFdprWbqlXtN0DqbHHs1fe?hl=en#scrollTo=5o3OgCMdRGgp)
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  This model is fine-tuned on the Qwen1.5-4B-Chat model and COIG-CQIA/ruozhiba dataset by QLoRA.
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+ Be noted that the model file contains the adapter LoRA weights only, so you are suggested to merge adapters with the base model for inference usage. Check the official reference [here](https://huggingface.co/docs/peft/main/en/developer_guides/lora#merge-adapters)
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  This whole training process is running on Google Colab with free computing resources, detail can be accessed via [link](https://colab.research.google.com/drive/1GiI8drsinxhFdprWbqlXtN0DqbHHs1fe?hl=en#scrollTo=5o3OgCMdRGgp)
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