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license: apache-2.0
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Ubuntu_Llama_Chat_7B
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Ubuntu_Llama_Chat_7B is a fine-tuned model based on Llama 2 Chat 7b base model and fine-tuned on the data set Ubuntu Dialogue Corpus
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Fine-Tune Dataset
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The fine-tuning was performed on Ubuntu Dialogue Corpus dataset, which was crucial for achieving the results.
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The dataset is provided under Apache License, 2.0 license. We thank Ryan Lowe, Nissan Pow , Iulian V. Serban, and Joelle Pineau for making the dataset publicly available.
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Ryan Lowe, Nissan Pow, Iulian V. Serban and Joelle Pineau, "The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems", SIGDial 2015. URL: http://www.sigdial.org/workshops/conference16/proceedings/pdf/SIGDIAL40.pdf
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license: apache-2.0
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language:
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- en
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<b>Ubuntu_Llama_Chat_7B </b><br>
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Ubuntu_Llama_Chat_7B is a fine-tuned model based on Llama 2 Chat 7b base model and fine-tuned on the data set Ubuntu Dialogue Corpus <br>
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<br>
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## Acknowledgments
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### Base Model: Llama-2-7b-chat-hf
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- We utilized the Llama2 Chat 7b model as the base model for our project. The model was obtained from [meta-llama/Llama-2-2b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf).
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- Special thanks to [AI at Meta](https://ai.meta.com/llama/) for providing the model and the community around it for the support.
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- License: A custom commercial license is available at: https://ai.meta.com/resources/models-and-libraries/llama-downloads/.
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### Fine-Tune Dataset
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- The fine-tuning was performed on [Ubuntu Dialogue Corpus](https://www.kaggle.com/datasets/rtatman/ubuntu-dialogue-corpus) dataset, which was crucial for achieving the results.
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- The dataset is provided under [Apache License, 2.0](https://www.apache.org/licenses/LICENSE-2.0) license. We thank [Ryan Lowe, Nissan Pow , Iulian V. Serban, and Joelle Pineau](http://www.sigdial.org/workshops/conference16/proceedings/pdf/SIGDIAL40.pdf) for making the dataset publicly available.
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- Ryan Lowe, Nissan Pow, Iulian V. Serban and Joelle Pineau, "The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems", SIGDial 2015. URL: http://www.sigdial.org/workshops/conference16/proceedings/pdf/SIGDIAL40.pdf
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