Update README.md

README.md

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 # MegaBeam-Mistral-7B-512k Model
 
-`MegaBeam-Mistral-7B-512k` is a Large-Context LLM that supports 524,288 tokens in its context. `MegaBeam-Mistral-7B-512k` was trained on [Mistral-7B Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2), and can be deployed using various serving frameworks like [vLLM](https://github.com/vllm-project/vllm) and Amazon SageMaker's [DJL](https://docs.aws.amazon.com/sagemaker/latest/dg/deploy-models-frameworks-djl-serving.html) endpoint. Please refer to our [GitRepo](https://github.com/awslabs/extending-the-context-length-of-open-source-llms/tree/main/megabeam-mistral-7b) for deployment and inference examples.
+`MegaBeam-Mistral-7B-512k` is a Long-Context LLM that supports 524,288 tokens in its context. `MegaBeam-Mistral-7B-512k` was trained on [Mistral-7B Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2), and can be deployed using various serving frameworks like [vLLM](https://github.com/vllm-project/vllm) and Amazon SageMaker's [DJL](https://docs.aws.amazon.com/sagemaker/latest/dg/deploy-models-frameworks-djl-serving.html) endpoint. Please refer to our [GitRepo](https://github.com/awslabs/extending-the-context-length-of-open-source-llms/tree/main/megabeam-mistral-7b) for deployment and inference examples.
 
 **New update!** - Watch our [talk on MegaBeam](https://neurips.cc/Expo/Conferences/2024/talk%20panel/100673) at NeurIPS 2024