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README.md

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-This is the (un)official card for Red Hat AI and covers our Instructlab, Granite, Linux AI, RHEL AI and OpenShift AI offerings. 
-The Podman AI Lab is also linked to for local desktop experimentation. 
+# Red Hat AI 
+<img src="https://upload.wikimedia.org/wikipedia/commons/thumb/d/d8/Red_Hat_logo.svg/2560px-Red_Hat_logo.svg.png " alt="alt text" width="200" height="100">
 
-Red Hat AI is powered by OpenSource with partnerships with IBM Research and Red Hat AI Business Units. 
+## Build AI for your world
+
+Red Hat AI is powered by OpenSource with partnerships with IBM Research and Red Hat AI Business Units.
+
+We strongly believe the future of AI is open and community-driven research will propel AI forward. As such, we will be hosting our latest optimized models on Hugging Face, fully open for the world to use. We hope that the AI community will find our efforts useful and that our models help fuel their research.
+
+With Red Hat AI you can, 
+- Access and leverage quantized variants of the leading open source models cush as Llama 4, Mistral Small 3.1, Phi 4, Granite and more. 
+- Tune smaller, purpose-built models with your own data.
+- Quantize your models with [LLM Compressor](https://github.com/vllm-project/llm-compressor) or use our pre-optimized models on HuggingFace.
+- Optimize inference with [vLLM](https://github.com/vllm-project/vllm).
+
+In this profile we provide accurate model checkpoints compressed with SOTA methods ready to run in vLLM such as W4A16, W8A16, W8A8 (int8 and fp8), and many more! 
+If you would like help quantizing a model or have a request for us to add a checkpoint, please open an issue in https://github.com/vllm-project/llm-compressor.
+
+
+
+
+### Additional Red Hat AI Resources:
 
 RHEL AI/Instructlab/Granite Blog 
 https://www.redhat.com/en/blog/what-rhel-ai-guide-open-source-way-doing-ai
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 RHEL AI Preview
 https://github.com/RedHatOfficial/rhelai-dev-preview
 
-InstructLab Granite 7b
-https://huggingface.co/instructlab/granite-7b-lab
-
 Red Hat OpenShift AI (ML/Ops Platform)
 https://www.redhat.com/en/technologies/cloud-computing/openshift/openshift-ai