[Minor] Update README.md.

README.md

@@ -14,11 +14,11 @@ The current release supports:
 
 ![TinyChat on RTX 4090: W4A16 is 2.3x faster than FP16](./tinychat/figures/4090_example.gif)
 
-Check out [TinyChat](tinychat), which delievers 2.3x faster inference performance for the **LLaMA-2** chatbot!
+Check out [TinyChat](tinychat), which delievers 2.3x faster inference performance for the **LLaMA-2** chatbot on RTX 4090!
 
 
 ## News
-- [2023/07] 🔥 We released **TinyChat**, an efficient and minimal chatbot interface based on AWQ. TinyChat also enables edge LLM inference on Jetson Orin. LLama-2-chat models are supported! Check out our implementation [here](tinychat).
+- [2023/07] 🔥 We released **TinyChat**, an efficient and minimal chatbot interface based on AWQ. TinyChat enables efficient LLM inference on both cloud and edge GPUs. LLama-2-chat models are supported! Check out our implementation [here](tinychat).
 - [2023/07] 🔥 We added AWQ support and pre-computed search results for Llama-2 models (7B & 13B). Checkout our model zoo [here](https://huggingface.co/datasets/mit-han-lab/awq-model-zoo)!
 - [2023/07] We extended the support for more LLM models including MPT, Falcon, and BLOOM. 
 

tinychat/README.md

 # TinyChat: Efficient and Minimal Chatbot with AWQ
 
-We introduce TinyChat, a cutting-edge chatbot interface designed for minimal resource consumption and fast inference speed on GPU platforms. It allows for seamless deployment on low-power edge devices like the NVIDIA Jetson Orin, empowering users with a responsive conversational experience like never before.
+We introduce TinyChat, a cutting-edge chatbot interface designed for minimal resource consumption and fast inference speed on GPU platforms. It allows for seamless deployment on consumer-level GPUs such as 3090/4090 and low-power edge devices like the NVIDIA Jetson Orin, empowering users with a responsive conversational experience like never before.
 
 
 

tinychat/awq_cache

+../../llm-awq-chat-dev/tinychat/awq_cache
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