Update README

README.md

@@ -2,18 +2,18 @@
 
 
 ## Overview
-The `nm-vllm` packages published in this repository are Neuralmagic Enterprise Edition of [vLLM](https://github.com/vllm-project/vllm). Packages are versioned Python wheels and docker images. These are released as "production level" official releases and "beta level" Nightly's.
+The `nm-vllm` packages published in this repository are Neuralmagic Enterprise Edition of [vLLM](https://github.com/vllm-project/vllm). Packages are versioned Python wheels and docker images. These are released as "production level" official releases and "beta level" nightly releases.
 
-Official releases are made at the discretion of Neuralmagic, but typically track with `vllm` releases. These wheels are available via "public pypi" as well as ["nm-pypi"](https://pypi.neuralmagic.com).
+Official releases are made at the discretion of Neuralmagic, but typically track with `vllm` releases. These wheels are available via the official PyPI as well as [Neuralmagic's PyPI](https://pypi.neuralmagic.com).
 
-Nightly's are released every night given green runs in automation. The wheels are available at ["nm-pypi"](https://pypi.neuralmagic.com).
+Nightly builds are released every night given green runs in automation. The wheels are available at [Neuralmagic's PyPI](https://pypi.neuralmagic.com).
 
 
 ## Installation
 
 
 ### 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.
+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
@@ -40,11 +40,11 @@ docker run --gpus all --shm-size 2g ghcr.io/neuralmagic/nm-vllm-ent:latest --mod
 
 ## Benchmarks
 
-Please see our benchmarking results [here]( https://neuralmagic.github.io/nm-vllm-certs/dev/bench/).
+Please see our benchmark results [here]( https://neuralmagic.github.io/nm-vllm-certs/dev/bench/).
 
 
 ## Models
 
-Neural Magic maintains a variety of optimized models on our Hugging Face organization profiles:
+Neuralmagic maintains a variety of optimized models on our Hugging Face organization profiles:
 - [neuralmagic](https://huggingface.co/neuralmagic)
 - [nm-testing](https://huggingface.co/nm-testing)