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README.md

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 # The Future of AI is Open
 
+**If you are looking for compressed models to run with vLLM, they have been moved to the [RedHatAI](https://huggingface.co/RedHatAI) organization. We are looking forward to continue publishing optimized models for open source use!**
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 [Neural Magic](https://neuralmagic.com/) helps developers in accelerating deep learning performance using automated model compression technologies and inference engines.
 Download our compression-aware inference engines and open source tools for fast model inference. 
-* [nm-vllm](https://neuralmagic.com/nm-vllm/): Enterprise-ready inferencing system based on the open-source library, vLLM, for at-scale operationalization of performant open-source LLMs
+* [vLLM](https://github.com/vllm-project/vllm/): A high-throughput and memory-efficient inference engine for at-scale deployment of performant open-source LLMs
 * [LLM Compressor](https://github.com/vllm-project/llm-compressor/): HF-native library for applying quantization and sparsity algorithms to llms for optimized deployment with vLLM
-* [DeepSparse](https://github.com/neuralmagic/deepsparse): Inference runtime offering accelerated performance on CPUs and APIs to integrate ML into your application
 
 ![NM Workflow](https://cdn-uploads.huggingface.co/production/uploads/60466e4b4f40b01b66151416/QacT1zAnoidTKqRTY4NxH.png)