adamo1139/Mistral-7B-AEZAKMI-v1 Overview

This model is a 7 billion parameter variant of the Mistral architecture, fine-tuned by adamo1139 using the AEZAKMI v1 dataset. The AEZAKMI v1 dataset itself is a derivative of the Airoboros 2.2.1 and 2.2 datasets. The fine-tuning process utilized axolotl with QLoRA and NF4 double quantization, completing approximately two epochs of training on a single RTX 3090 Ti.

Key Capabilities

• Refusal-Free Output: A primary design goal was to eliminate refusals in the model's responses.
• Natural Conversation: The model aims to provide a more natural and fluid conversational experience.
• ChatML Format: It uses the standard ChatML prompt format for interactions.

Good For

• Cozy Chatbot Applications: Ideal for creating friendly, general-purpose chatbots that avoid restrictive responses.
• Conversational AI: Suitable for use cases where a natural and uninhibited dialogue flow is preferred.

Limitations

• Not Optimized for Complex Tasks: Users should not expect high performance in areas like advanced mathematics, riddles, or highly complex reasoning tasks.