Model Overview

CharlesLi/llama_2_alpaca_llama_2 is a 7 billion parameter language model derived from Meta's Llama-2-7b-chat-hf. It has been fine-tuned on an unspecified dataset, demonstrating a final validation loss of 0.7577 after 50 training steps.

Key Training Details

• Base Model: meta-llama/Llama-2-7b-chat-hf
• Parameters: 7 Billion
• Context Length: 4096 tokens
• Learning Rate: 0.0002
• Optimizer: Adam with betas=(0.9, 0.999) and epsilon=1e-08
• Training Steps: 50
• Frameworks: PEFT 0.12.0, Transformers 4.44.2, Pytorch 2.4.1+cu121

Intended Uses

This model is suitable for general-purpose conversational AI applications, leveraging the robust capabilities of the Llama 2 architecture. Its fine-tuning process suggests an adaptation for instruction-following or chat-based interactions, though specific use cases are not detailed in the original documentation.