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Preface
LLM Compressor is an open source library that incorporates the latest research in model compression, allowing you to generate compressed models with minimal effort.
The LLM Compressor framework leverages the latest quantization, sparsity, and general compression techniques to improve generative AI model efficiency, scalability, and performance while maintaining accuracy. With native Hugging Face and vLLM support, you can seamlessly integrate optimized models with deployment pipelines for faster, cost-saving inference at scale, powered by the compressed-tensors model format.
LLM Compressor is a Developer Preview feature only. Developer Preview features are not supported by Red Hat in any way and are not functionally complete or production-ready. Do not use Developer Preview features for production or business-critical workloads. Developer Preview features provide early access to upcoming product features in advance of their possible inclusion in a Red Hat product offering, enabling customers to test functionality and provide feedback during the development process. These features might not have any documentation, are subject to change or removal at any time, and testing is limited. Red Hat might provide ways to submit feedback on Developer Preview features without an associated SLA.
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