✨ win10/EVE-26b-XENO-HAT

A merged model created through a proprietary model-merging algorithm, delivering performance that surpasses the original base models.

🚀 Overview

This model was completed using a private model-merging algorithm. Its real-world performance is significantly stronger than the original models, and mathematically, it forms an almost perfect centroid.

This is a checkpoint for cross-architecture merging.

🧠 Research Highlight

This work demonstrates the successful integration of quantization models with cross-architecture models.

The resulting model quality surpasses that of the same model source under BF16,

showing that quantized model merging can produce results exceeding those of the original BF16-level models,

and also demonstrating that cross-architecture merging without training is a feasible approach.

🙏 Credits

Special thanks to the authors of the following models:

• win10/K2-nano-v1
• kldzj/gpt-oss-120b-heretic-bf16
• huihui-ai/Huihui-Nex-N2-mini-abliterated
• poolside/Laguna-XS-2.1

💖 Open Sponsorship

Support this research and future model development:

• Ko-fi
• PayPal