update readme about archival (#406)

SUMMARY:
* update README with information about archiving this REPO.

---------

Co-authored-by: andy-neuma <[email protected]>

README.md

@@ -1,43 +1,12 @@
 # nm-vllm
 
-## Overview
+__THIS REPO HAS BEEN ARCHIVED AS OF SEPTEMBER 2024. NEURAL MAGIC IS STILL RELEASING ENTERPRISE PACKAGES RELATED TO VLLM. OUR RELEASE REPO HAS JUST GONE PRIVATE.__
 
-`nm-vllm` is our supported enterprise distribution of [vLLM](https://github.com/vllm-project/vllm).
+To learn more about nm-vllm Enterprise, visit the [nm-vllm product page](https://neuralmagic.com/nm-vllm/).
 
-## Installation
+To contribute and to see our contributions to vLLM, visit [vLLM](https://github.com/vllm-project/vllm).
 
-### PyPI
-The [nm-vllm PyPi package](https://pypi.neuralmagic.com/simple/nm-vllm/index.html) includes pre-compiled binaries for CUDA (version 12.1) kernels. For other PyTorch or CUDA versions, please compile the package from source.
-
-Install it using pip:
-```bash
-pip install nm-vllm --extra-index-url https://pypi.neuralmagic.com/simple
-```
-
-To utilize the weight sparsity features, include the optional `sparse` dependencies.
-```bash
-pip install nm-vllm[sparse] --extra-index-url https://pypi.neuralmagic.com/simple
-```
-
-You can also build and install `nm-vllm` from source (this will take ~10 minutes):
-```bash
-git clone https://github.com/neuralmagic/nm-vllm.git
-cd nm-vllm
-pip install -e .[sparse] --extra-index-url https://pypi.neuralmagic.com/simple
-```
-
-### Docker
-
-The [`nm-vllm` container registry](https://github.com/neuralmagic/nm-vllm/pkgs/container/nm-vllm-openai) includes premade docker images.
-
-Launch the OpenAI-compatible server with:
-
-```bash
-MODEL_ID=Qwen/Qwen2-0.5B-Instruct
-docker run --gpus all --shm-size 2g ghcr.io/neuralmagic/nm-vllm-openai:latest --model $MODEL_ID
-```
-
-## Models
+To view the latest releases, benchmarking, models, and evaluations from Neural Magic, visit [nm-vllm-certs](https://github.com/neuralmagic/nm-vllm-certs).
 
 Neural Magic maintains a variety of optimized models on our Hugging Face organization profiles:
 - [neuralmagic](https://huggingface.co/neuralmagic)