Improve docs & Rename Gemini -> VertexAI (#19)

README.md

@@ -1,4 +1,5 @@
 # SGLang
+| [**Blog**](https://lmsys.org/blog/2024-01-17-sglang/) | [**Paper**](https://arxiv.org/abs/2312.07104) |
 
 SGLang is a structured generation language designed for large language models (LLMs).
 It makes your interaction with LLMs faster and more controllable by co-designing the frontend language and the runtime system.
@@ -42,7 +43,7 @@ The example below shows how to use sglang to answer a mulit-turn question.
 ### Using OpenAI Models
 Set the OpenAI API Key
 ```
-export OPENAI_API_KEY=sk-xxxxxx
+export OPENAI_API_KEY=sk-******
 ```
 
 Then, answer a multi-turn question.
@@ -100,6 +101,7 @@ for m in state.messages():
 
 ### More Examples
 
+Anthropic and VertexAI (Gemini) models are also supported.
 You can find more examples at [examples/quick_start](examples/quick_start).
 
 ## Frontend: Structured Generation Langauge (SGLang)
@@ -251,6 +253,7 @@ python -m sglang.launch_server --model-path meta-llama/Llama-2-7b-chat-hf --port
 - Mixtral
 - LLaVA
   - `python3 -m sglang.launch_server --model-path liuhaotian/llava-v1.5-7b --tokenizer-path llava-hf/llava-1.5-7b-hf --port 30000`
+- AWQ quantization
 
 ## Benchmark And Performance