Overview

Kukedlc/MyModelsMerge-7b is a 7 billion parameter language model developed by Kukedlc. It is a composite model, created by merging eight different base models using the LazyMergekit tool. The merge process specifically employed the DARE TIES method.

Key Components and Configuration

This model integrates contributions from:

• liminerity/M7-7b
• Kukedlc/Neural4gsm8k
• Kukedlc/Jupiter-k-7B-slerp
• Kukedlc/NeuralMaxime-7B-slerp
• Kukedlc/NeuralFusion-7b-Dare-Ties
• Kukedlc/Neural-Krishna-Multiverse-7b-v3
• Kukedlc/NeuTrixOmniBe-DPO
• Kukedlc/NeuralSirKrishna-7b (also serving as the base model)

Each merged component is assigned specific weight and density parameters, indicating their contribution to the final model's characteristics. The configuration also specifies int8_mask: true, normalize: true, and dtype: bfloat16 for optimized performance and memory usage.

Usage

The model can be easily integrated into Python projects using the transformers library, with example code provided for text generation tasks.