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.
- Downloads last month
- 3
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for XeroCodes/hawk-small-1.1b-gguf
Base model
unsloth/tinyllama-bnb-4bit