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README.md

@@ -16,13 +16,15 @@ This is quantized version of [Menlo/Jan-nano](https://huggingface.co/Menlo/Jan-n
 
 # Original Model Card
 
-# Jan-Nano: A 4B MCP-Optimized DeepResearch Model
+# Jan-Nano: An Agentic Model
 [![GitHub](https://img.shields.io/badge/GitHub-Repository-blue?logo=github)](https://github.com/menloresearch/deep-research) 
 
 <div align="center">
   <img src="https://cdn-uploads.huggingface.co/production/uploads/65713d70f56f9538679e5a56/wC7Xtolp7HOFIdKTOJhVt.png" width="300" alt="Jan-Nano">
 </div>
 
+Authors: [Alan Dao](https://scholar.google.com/citations?user=eGWws2UAAAAJ&hl=en), [Bach Vu Dinh](https://scholar.google.com/citations?user=7Lr6hdoAAAAJ&hl=vi), Thinh  
+
 ## Overview
 
 Jan-Nano is a compact 4-billion parameter language model specifically designed and trained for deep research tasks. This model has been optimized to work seamlessly with Model Context Protocol (MCP) servers, enabling efficient integration with various research tools and data sources.
@@ -38,4 +40,18 @@ The evaluation was conducted using our MCP-based benchmark approach, which asses
 
 ![Jan-Nano Demo](replay.gif)
 
-Jan-Nano is supported by [Jan]((https://github.com/menloresearch/jan)), an open-source ChatGPT alternative that runs entirely on your computer. Jan provides a user-friendly interface for running local AI models with full privacy and control.
+Jan-Nano is currently supported by [Jan - beta build](https://www.jan.ai/docs/desktop/beta), an open-source ChatGPT alternative that runs entirely on your computer. Jan provides a user-friendly interface for running local AI models with full privacy and control.
+
+For non-jan app or tutorials there are guidance inside community section, please check those out! [Discussion](https://huggingface.co/Menlo/Jan-nano/discussions)
+
+### VLLM
+Here is an example command you can use to run vllm with Jan-nano
+
+```
+vllm serve Menlo/Jan-nano --host 0.0.0.0 --port 1234 --enable-auto-tool-choice --tool-call-parser hermes --chat-template ./qwen3_nonthinking.jinja
+```
+
+Chat-template is already included in tokenizer so chat-template is optional, but in case it has issue you can download the template here [Non-think chat template](https://qwen.readthedocs.io/en/latest/_downloads/c101120b5bebcc2f12ec504fc93a965e/qwen3_nonthinking.jinja)
+
+### Documentation
+[Setup, Usage & FAQ](https://menloresearch.github.io/deep-research/)