# Low memory consumption

Advanced model for end-to-end synthetic song detection, capable of identifying AI-generated complete songs (including vocals, music, lyrics, and style)

A zero-shot classifier fine-tuned based on ModernBERT-large, efficient and fast with low memory usage, suitable for various text classification tasks.

A text-to-audio forced alignment tool based on Hugging Face pre-trained models, supporting multiple languages with high memory efficiency

A 4-bit quantized version of the google/gemma-2b model compressed using AWQ technology, designed to enhance inference efficiency and reduce resource consumption.

PrunaAI-optimized 8-bit quantized version of Palmyra small language model, significantly reducing memory usage and energy consumption

PrunaAI's compressed MPT-7B story-writing model, enabling efficient inference through llm-int8 technology