ONS-AI-RESEARCH/llama-2-13B-chat-hf-finetune-klaid
ONS-AI-RESEARCH/llama-2-13B-chat-hf-finetune-klaid is a 13 billion parameter Llama 2-based chat model, fine-tuned by ONS-AI-RESEARCH. This model is designed for conversational AI applications, leveraging the Llama 2 architecture for robust language understanding and generation. It is optimized for chat-based interactions, providing a foundation for various dialogue systems. The model has a context length of 4096 tokens, suitable for engaging in extended conversations.
Loading preview...
Model Overview
ONS-AI-RESEARCH/llama-2-13B-chat-hf-finetune-klaid is a 13 billion parameter language model built upon the Llama 2 architecture. Developed by ONS-AI-RESEARCH, this model has been specifically fine-tuned for chat-based applications, making it suitable for conversational AI systems. It leverages the foundational capabilities of Llama 2 to provide strong performance in understanding and generating human-like text within a dialogue context.
Key Characteristics
- Architecture: Based on the Llama 2 family of models.
- Parameter Count: Features 13 billion parameters, offering a balance between performance and computational requirements.
- Context Length: Supports a context window of 4096 tokens, allowing for moderately long and coherent conversations.
- Fine-tuning: The model has undergone fine-tuning specifically for chat scenarios, enhancing its ability to engage in interactive dialogues.
Training Details
The fine-tuning process for this model utilized the PEFT (Parameter-Efficient Fine-Tuning) framework, specifically version 0.5.0.dev0. This indicates an efficient approach to adapting the base Llama 2 model for its specialized chat function.
Good For
- Developing conversational agents and chatbots.
- Applications requiring interactive dialogue generation.
- Use cases where a Llama 2-based model with a 4096-token context is appropriate for chat interactions.