Update README.md

README.md

@@ -2,6 +2,7 @@
 license: apache-2.0
 base_model:
 - Qwen/Qwen3-4B
+pipeline_tag: reinforcement-learning
 ---
 # Jan-Nano: A 4B MCP-Optimized DeepResearch Model
 [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue?logo=github)](https://github.com/menloresearch/deep-research) 
@@ -19,5 +20,4 @@ Jan-Nano has been evaluated on the SimpleQA benchmark using our MCP-based benchm
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65713d70f56f9538679e5a56/sdRfF9FX5ApPow9gZ31No.png)
 
-The evaluation was conducted using our MCP-based benchmark approach, which assesses the model's performance on SimpleQA tasks while leveraging its native MCP server integration capabilities. This methodology better reflects Jan-Nano's real-world performance as a tool-augmented research model, validating both its factual accuracy and its effectiveness in MCP-enabled environments.
-
+The evaluation was conducted using our MCP-based benchmark approach, which assesses the model's performance on SimpleQA tasks while leveraging its native MCP server integration capabilities. This methodology better reflects Jan-Nano's real-world performance as a tool-augmented research model, validating both its factual accuracy and its effectiveness in MCP-enabled environments.