LeroyDyer/Mixtral_AI_Cyber_5.0

Model Overview

LeroyDyer/Mixtral_AI_Cyber_5.0 is a 7 billion parameter language model based on the Mistral transformer network, specifically Mistral-7B-Instruct-v0.2. It functions as a Mixture of Experts (MoE) model, integrating several specialized sub-models to enhance its capabilities and efficiency. The model aims to consolidate the internal predictive nature of the network by merging models that have undergone different fine-tuning processes.

Key Capabilities & Integrated Experts

• Versatility and Efficiency: Designed for a broad range of tasks through its MoE architecture.
• Expanded Context Window: Features an 8192-token context length for handling longer inputs.
• Advanced Routing Mechanisms: Facilitates seamless integration and utilization of specialized sub-models.
• OpenOrca - Mistral-7B-8k: Contributes fine-tuning excellence and strong performance.
• Hermes 2 Pro: Introduces advanced features like Function Calling and JSON Mode.
• Starling-LM-7B-beta: Demonstrates adaptability and optimization through Reinforcement Learning from AI Feedback.
• Phi-1.5 Transformer: Excels in domains such as common sense reasoning and medical inference.
• BioMistral: Tailored for specific medical applications.
• Nous-Yarn-Mistral-7b-128k: Specialized in handling long-context data.

Considerations

Due to the merging of various fine-tuned models (e.g., Commercial Orca, Dolphin, Nous, Starling), there may be some data contamination or biases present. Future tuning efforts will focus on specific tasks, leveraging this merged model as a base.