Update README.md

README.md

@@ -33,38 +33,41 @@ Jan-v1's strategic scaling has resulted in a notable performance uplift, particu
 
 The **91.2% accuracy on SimpleQA** underscores Jan-v1's advanced ability to precisely retrieve and synthesize information, showcasing the effectiveness of our model scaling approach for agentic intelligence.
 
-## 🖥️ How to Run Locally
+## Quick Start
 
-Jan-v1 is designed for flexible deployment, compatible with various inference engines including vLLM, llama.cpp, and local applications like Jan and LMStudio. Its integration with search APIs and web browsing tools is facilitated through the MCP.
-
-### Deployment
 ### Integration with Jan App
 
 Jan-v1 is optimized for direct integration with the Jan App. Simply select the model from the Jan App interface for immediate access to its full capabilities.
 
-Deploy using VLLM:
+### Local Deployment
+
+**Using vLLM:**
 ```bash
-vllm serve Menlo/Jan-v1 \ # Update with your HF model ID (e.g., Menlo/Jan-v1)
+vllm serve Menlo/Jan-v1 \
     --host 0.0.0.0 \
     --port 1234 \
     --enable-auto-tool-choice \
-    --tool-call-parser hermes 
+    --tool-call-parser hermes
 ```
 
-Or `llama-server` from `llama.cpp`:
+**Using llama.cpp:**
 ```bash
-llama-server ... 
+llama-server --model jan-v1.gguf \
+    --host 0.0.0.0 \
+    --port 1234
 ```
 
-### Recommended Sampling Parameters
+### Recommended Parameters
 
 ```yaml
-Temperature: 0.7
-Top-p: 0.9
-Top-k: 20
-Min-p: 0.0
+temperature: 0.7
+top_p: 0.9
+top_k: 20
+min_p: 0.0
+max_tokens: 2048
 ```
 
+
 ## 🤝 Community & Support
 
 - **Discussions**: [HuggingFace Community](https://huggingface.co/Menlo/Jan-v1/discussions) <!-- Update with your HF model ID -->