<ul><li>Neural Magic has released the LLM Compressor, a state-of-the-art tool for large language model optimization that enables faster inference through advanced model compression.</li><li>LLM Compressor simplifies the process by incorporating various compression algorithms like GPTQ, SmoothQuant, and SparseGPT, reducing inference latency without sacrificing accuracy.</li><li>The tool supports activation and weight quantization, enabling utilization of INT8 and FP8 tensor cores for improved performance on NVIDIA GPU architectures.</li><li>In addition to compression, LLM Compressor also supports structured sparsity and weight pruning techniques to reduce model size while maintaining accuracy.</li></ul>

Neural Magic Releases LLM Compressor: A Novel Library to Compress LLMs for Faster Inference with vLLM

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