OpenBuddy LLaMA2 70B v13 Base Model

This model, developed by OpenBuddyEA, is a 70 billion parameter LLaMA2-based model with an 8192-token context window. It is part of the "Base-series" and has been trained using approximately 50% conversational data, endowing it with robust cognitive and dialogue capabilities.

Key Characteristics

• Foundation Model: Built upon Meta's LLaMA2 architecture.
• Training Data: Incorporates a significant portion of conversational data (approximately 50%).
• Purpose: Intended as a base model for community-driven fine-tuning and the development of specialized, domain-specific applications.
• Licensing: Subject to Meta's LLaMA licensing agreement; users must obtain Meta's approval.

Intended Use

This model is not extensively fine-tuned for generic conversational tasks out-of-the-box. Developers should consider this model for:

• Further Fine-tuning: Ideal for creating highly specialized models tailored to specific domains or use cases.
• Research and Development: A strong foundation for exploring new applications and model adaptations.

For immediate deployment in generic conversational scenarios, users are advised to consider the fully fine-tuned OpenBuddy models (those without the -base suffix).