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Xero-2B

Xero-2B is a fine-tuned language model based on google/gemma-2b-it, optimized to excel as a conversational agent. This model has been fine-tuned on the yahma/alpaca-cleaned dataset to enhance its conversational abilities and comprehension, making it an excellent choice for applications requiring advanced dialogue capabilities and understanding.

Overview

Xero-2B builds upon the strong foundation of the Gemma-2B-Instruct model, enhancing its conversational skills and ability to understand and respond to complex queries. The fine-tuning process with the yahma/alpaca-cleaned dataset ensures that Xero-2B can handle diverse and intricate conversations with ease.

Features

  • Enhanced Conversational Abilities: Improved performance in generating natural and coherent dialogues.
  • Better Understanding: Enhanced comprehension skills, allowing for more accurate and context-aware responses.
  • Versatile Dialogue Management: Capable of handling a wide range of topics and maintaining context over extended conversations.
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Base model

google/gemma-2b-it
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this model

Dataset used to train XeroCodes/xero-2b