AndresR2909/Llama-3.1-8B-Instruct-suicide-related-text-classification

AndresR2909/Llama-3.1-8B-Instruct-suicide-related-text-classification is an 8 billion parameter instruction-tuned language model, based on the Llama 3.1 architecture, with a context length of 32768 tokens. This model is specifically fine-tuned for the classification of suicide-related text. Its primary differentiator is its specialized focus on identifying and categorizing content pertaining to suicide, making it suitable for applications requiring sensitive text analysis in this domain. The model aims to provide a tool for researchers and developers working on mental health support systems or content moderation.