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@@ -12,15 +12,15 @@ model-index:
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  should probably proofread and complete it, then remove this comment. -->
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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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- # qlora-out
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- This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.3095
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  ## Model description
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- More information needed
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  ## Intended uses & limitations
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  ## Training and evaluation data
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- More information needed
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  ## Training procedure
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  should probably proofread and complete it, then remove this comment. -->
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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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+ # mistral-alpaca-qlora
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+ This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the mhenrichsen/alpaca_2k_test dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.3095
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  ## Model description
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+ Standard mistral 7B fine tuned with alpaca format.
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  ## Intended uses & limitations
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  ## Training and evaluation data
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+ mhenrichsen/alpaca_2k_test
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  ## Training procedure
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