Update README.md

README.md

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 pipeline_tag: image-text-to-text
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-WARNING: This repository contains content that might be disturbing! Therefore, we set the `Not-For-All-Audiences` tag.
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 This LlavaGuard model was introduced in [LLAVAGUARD: VLM-based Safeguards for Vision Dataset Curation and Safety Assessment](https://arxiv.org/abs/2406.05113). Please also check out our [Website](https://ml-research.github.io/human-centered-genai/projects/llavaguard/index.html).  
 
 ## Overview
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 # 1. Select a model and start an SGLang server
 
-    CUDA_VISIBLE_DEVICES=0 python3 -m sglang.launch_server --model-path AIML-TUDA/LlavaGuard-7B --tokenizer-path llava-hf/llava-1.5-7b-hf --port 10000
+    CUDA_VISIBLE_DEVICES=0 python3 -m sglang.launch_server --model-path AIML-TUDA/LlavaGuard-v1.2-7B-OV --port 10000
    
 # 2. Model Inference
 For model inference, you can access this server by running the code provided below, e.g.