Model Overview

pmmpk-EinstainMorcoro14KrishnaHercules-7b-slerp is a 7 billion parameter language model developed by mvpmaster. It is the result of a spherical linear interpolation (slerp) merge of two distinct base models: mvpmaster/kellemar-KrishnaHercules-0.1-7b-slerp and mvpmaster/Einstein-4D-Marcoro14-7b-full-slerp. This merging technique aims to combine the beneficial characteristics of its constituent models.

Key Characteristics

• Architecture: A merged model derived from two 7B parameter base models.
• Parameter Count: 7 billion parameters.
• Context Length: Supports a context window of 4096 tokens.
• Merge Method: Utilizes the slerp (spherical linear interpolation) method, specifically configured with varying interpolation values across self-attention and MLP layers, as detailed in the provided configuration.
• Data Type: Optimized for bfloat16 precision.

Intended Use Cases

This model is designed for general text generation and understanding tasks. Developers can integrate it into applications requiring a 7B class model for:

• Text completion and generation.
• Chatbot development.
• Content creation.
• Exploratory AI research leveraging merged model architectures.