Update README.md

README.md

@@ -15,18 +15,6 @@ pipeline_tag: text-generation
 **Resources and Technical Documentation**:
 * [Gemma3 Model](https://huggingface.co/google/gemma-3-4b-it)
 
-**Citation**
-
-```bibtex
-@misc {Devocean-06/Spam_Filter-gemma,
-	author       = { {SK Devoceon-06 On device LLM} },
-	title        = { Spam filter & XAI },
-	year         = 2025,
-	url          = { https://huggingface.co/Devocean-06/Spam_Filter-gemma },
-	publisher    = { Hugging Face }
-}
-```
-
 **Model Developers**: SK Devoceon-06 On device LLM
 
 ## Model Information
@@ -69,8 +57,24 @@ result = pipe(text, top_k=2)
 print(result)
 ```
 
-## Quick Start
+## Runnig with the vLLM
+```sh
+vllm serve Devocean-06/Spam_Filter-gemma
+```
+
+**Citation**
+
+```bibtex
+@misc {Devocean-06/Spam_Filter-gemma,
+	author       = { {SK Devoceon-06 On device LLM} },
+	title        = { Spam filter & XAI },
+	year         = 2025,
+	url          = { https://huggingface.co/Devocean-06/Spam_Filter-gemma },
+	publisher    = { Hugging Face }
+}
+```
 
+## Software
 Training was conducted using the Axolotl framework, a flexible and efficient fine-tuning system designed for large language models.
 
 Axolotl enables seamless configuration and execution of full fine-tuning, LoRA, and DPO pipelines through simple YAML-based workflows.