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--- |
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base_model: Qwen/Qwen2.5-1.5B-Instruct |
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tags: |
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- peft |
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- lora |
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- federated-learning |
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- flower |
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datasets: |
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- vicgalle/alpaca-gpt4 |
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--- |
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# FlowerTune LoRA Model |
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This is a LoRA adapter for Qwen/Qwen2.5-1.5B-Instruct fine-tuned with Flower federated learning framework on a general NLP dataset. |
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## Training Details |
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- Dataset: vicgalle/alpaca-gpt4 |
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- Training method: Federated LoRA fine-tuning with FlowerTune |
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- Framework: Flower |
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This model is a LoRA adapter fine-tuned on Qwen/Qwen2.5-1.5B-Instruct using the Flower federated learning framework. It was trained on a general NLP dataset (vicgalle/alpaca-gpt4) through distributed learning to improve performance. |
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## Links |
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- FlowerTune Homepage: [https://huggingface.co/zjudai/FlowerTune](https://huggingface.co/zjudai/FlowerTune) |
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- FlowerTune Collection: [https://huggingface.co/collections/zjudai/flowertune-lora-collection-67ecd5d0dae6145cbf798439](https://huggingface.co/collections/zjudai/flowertune-lora-collection-67ecd5d0dae6145cbf798439) |
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