Optimizing LLMs
Optimize large language models (LLMs) for efficient inference using one-shot pruning and quantization. Learn how to improve model performance and reduce costs without sacrificing accuracy.
Optimize large language models (LLMs) for efficient inference using one-shot pruning and quantization. Learn how to improve model performance and reduce costs without sacrificing accuracy.
Guide on sparse fine-tuning Llama2 7B model on GSM8K dataset, including steps, commands, and recipes for optimization.
Improve the performance of your large language models (LLMs) through fine-tuning with Neural Magic's SparseML. Optimize LLMs for specific tasks while maintaining accuracy.
Adapt large language models (LLMs) to new domains and tasks using sparse transfer learning with Neural Magic's SparseML. Maintain accuracy while optimizing for efficiency.
Neural Magic empowers you to optimize and deploy deep learning models on CPUs with GPU-class performance. Unlock efficiency, accessibility, and cost savings with our software solutions.