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  1. README.md +3 -1
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@@ -14,6 +14,8 @@ datasets:
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  - Norquinal/claude_multiround_chat_30k
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  - jondurbin/airoboros-gpt4-1.4.1
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  - databricks/databricks-dolly-15k
 
 
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  ---
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  <h1 style="text-align: center">Pygmalion-2 13B</h1>
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  <h2 style="text-align: center">An instruction-tuned Llama-2 biased towards fiction writing and conversation.</h2>
@@ -65,4 +67,4 @@ As such, it was **not** fine-tuned to be safe and harmless: the base model _and_
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  ## Acknowledgements
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  We would like to thank [SpicyChat](https://spicychat.ai/) for sponsoring the training for this model.
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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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  - Norquinal/claude_multiround_chat_30k
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  - jondurbin/airoboros-gpt4-1.4.1
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  - databricks/databricks-dolly-15k
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+ base_model:
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+ - meta-llama/Llama-2-13b-hf
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  ---
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  <h1 style="text-align: center">Pygmalion-2 13B</h1>
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  <h2 style="text-align: center">An instruction-tuned Llama-2 biased towards fiction writing and conversation.</h2>
 
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  ## Acknowledgements
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  We would like to thank [SpicyChat](https://spicychat.ai/) for sponsoring the training for this model.
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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)