Aryanne/QwentileSwap

Overview

Aryanne/QwentileSwap is a 32.8 billion parameter language model developed by Aryanne, utilizing a custom task_swapping merge method within mergekit. This model is built upon win10/EVA-QwQ-32B-Preview as its base, integrating layers from several other Qwen2.5-32B instruction-tuned models.

Key Capabilities

• Custom Merge Architecture: Employs a unique task_swapping merge method with specific diagonal_offset, random_mask, and weight parameters applied to different source models across all 64 layers.
• Blended Expertise: Combines the characteristics of ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3, maldv/Qwentile2.5-32B-Instruct, and Sao10K/32B-Qwen2.5-Kunou-v1 to potentially offer a diverse range of generative and instructional capabilities.
• High Parameter Count: With 32.8 billion parameters, it is suitable for complex language understanding and generation tasks.

Good For

• Exploratory AI Development: Ideal for developers interested in experimenting with models created through advanced merging techniques.
• Diverse Generative Tasks: Its merged nature suggests potential for handling a broad spectrum of prompts, from creative writing to instruction following, depending on the strengths inherited from its constituent models.
• Research into Model Merging: Provides a practical example of a custom task_swapping configuration for those studying or implementing model fusion strategies.