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This repository contains alpaca-formatted datasets for creating LoRA (Low Rank Adaptation) models for review analysis. The datasets have been enriched with sentiment analysis and keyword extraction information, in addition to review data.

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Llama LORA Repository

This repository contains datasets and resources for training and fine-tuning AI models for llama-related text generation. We use TextGenWebUI, Hugging Face's Transformers library, and the LoRA (Low Rank Adaptation) fine-tuning technique.

Datasets

reviews_large.json

  • This dataset contains a large collection of llama-related text data. It's designed to be used for training large AI models, enabling them to generate llama-themed content with a broad vocabulary.

reviews_small.json

  • This dataset is a smaller subset of reviews_large.json. It's suitable for quick experimentation and testing of models. Use this dataset if you want to iterate rapidly during development.

reviews_large_alpaca.json

  • This dataset is an extension of reviews_large.json and includes additional data related to alpacas, which can be useful for creating AI models that generate content about both llamas and alpacas.

reviews_small_alpaca.json

  • Similar to reviews_small.json, this dataset is a compact version of reviews_large_alpaca.json. It's ideal for quick prototyping and experimenting with models that incorporate both llama and alpaca content.

Additional Resources

  • For more information on TextGenWebUI, please visit their official documentation.

  • To explore Hugging Face's Transformers library and discover pre-trained models, check out their GitHub repository.

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This repository contains alpaca-formatted datasets for creating LoRA (Low Rank Adaptation) models for review analysis. The datasets have been enriched with sentiment analysis and keyword extraction information, in addition to review data.

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