KageAI v1 - Developed by KageLabs
KageAI is the debut MVP (Minimum Viable Product) from KageLabs. Built as a versatile technical assistant, this model represents our first step toward creating a highly efficient, general-purpose AI ecosystem.
KageAI is fine-tuned to provide clear, actionable insights while maintaining the lightweight performance needed for modern development cycles.
Model Details
- Developed by: KageLabs
- Model Type: Text Generation
- Language(s): English
- License: Apache-2.0
- Finetuned from model: unsloth/mistral-7b-v0.3-bnb-4bit
Training Highlights
KageAI was trained using QLoRA via Unsloth, which allowed us to achieve high-performance results with significant memory efficiency. During training, we observed a steady decrease in loss ($2.19 \rightarrow 0.12$), indicating strong pattern recognition and instructional alignment.
KageLabs Vision
KageLabs is dedicated to building tools that simplify complex technical workflows. KageAI is designed to assist both beginners and experienced developers in navigating the evolving landscape of software engineering and AI.
Credits & Acknowledgments
This model was made possible through the foundational work of:
- Mistral AI: For the robust Mistral-7B architecture.
- Unsloth: For providing the tools to make 2x faster, memory-efficient fine-tuning accessible.
KageAI v1 is an experimental release. We are continuously improving our datasets for v1.1 and beyond.