OpenBuddyEA/openbuddy-llama2-70b-v13-base
OpenBuddyEA/openbuddy-llama2-70b-v13-base is a 70 billion parameter LLaMA2-based model developed by OpenBuddyEA, featuring a context length of 8192 tokens. This base model is trained with approximately 50% conversational data, providing strong cognitive and dialogue capabilities. It is specifically designed for further fine-tuning by the community to create specialized, domain-specific models, rather than for immediate generic conversational use.
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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).