PranavSharma10/LlamaFinetunedTest

PranavSharma10/LlamaFinetunedTest is an 8 billion parameter language model based on the Llama 3 architecture, fine-tuned using Llama-Factory. This model leverages unsloth/llama-3-8b-Instruct-bnb-4bit and meta-llama/Meta-Llama-3-8B-Instruct as its base, offering a context length of 8192 tokens. It is designed for general instruction-following tasks, providing a compact yet capable solution for various NLP applications.