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README.md
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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# no_robots-alpaca
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This lora was trained
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It achieves the following results on the evaluation set:
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- Loss: 1.6087
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## Model description
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The LoRA was trained
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## Prompt template: Alpaca
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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# no_robots-alpaca
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This lora was trained with [Doctor-Shotgun/no-robots-sharegpt](https://huggingface.co/datasets/Doctor-Shotgun/no-robots-sharegpt) dataset on [TheBloke/Llama-2-13B-fp16](https://huggingface.co/TheBloke/Llama-2-13B-fp16).
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It achieves the following results on the evaluation set:
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- Loss: 1.6087
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## Model description
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The LoRA was trained on [Doctor-Shotgun/no-robots-sharegpt](https://huggingface.co/datasets/Doctor-Shotgun/no-robots-sharegpt), a ShareGPT converted dataset from the OG [HuggingFaceH4/no_robots](https://huggingface.co/datasets/HuggingFaceH4/no_robots) but with Alpaca prompting.
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## Prompt template: Alpaca
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