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hawk-small-1.1b

Overview

This hawk-small-1.1b model is a fine-tuned version of the tinyllama-bnb-4bit model, specifically optimized for enhanced conversational capabilities. The model has been trained on a diverse dataset to improve its ability to understand and generate human-like responses in various conversational contexts.

Features

  • Enhanced Conversational Abilities: Improved understanding of context, intent, and nuances in conversations.
  • Efficient Performance: Optimized for 4-bit quantization, ensuring efficient use of computational resources.
  • Versatile Applications: Suitable for chatbots, virtual assistants, and other conversational AI applications.
  • Efficiency: For such a small size of 667.81mb (megabytes), the model has an overwhelmingly high understanding capacity as well as accuracy.
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GGUF
Model size
1.1B params
Architecture
llama

4-bit

Inference Examples
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