Update README.md

README.md

@@ -10,4 +10,13 @@ library_name: transformers
 tags:
 - jupyter-agent
 - text-generation-inference
----
+- kaggle
+- agent
+- code
+datasets:
+- jupyter-agent/jupyter-agent-dataset
+---
+
+# **jupyter-agent-qwen3-4b-AIO-GGUF**
+
+> [Jupyter-agent-qwen3-4b-instruct and jupyter-agent-qwen3-4b-thinking](https://huggingface.co/collections/jupyter-agent/jupyter-agent-68c18c9139c6ba3310ed6067) are specialized 4B-parameter models built on Qwen3-4B for agentic reasoning and data science tasks in Jupyter notebooks, supporting both general instruction following and step-by-step, notebook-native logical analysis. The instruct variant excels at delivering fast, efficient responses without generating detailed reasoning traces, while the thinking variant provides comprehensive intermediate computations and analysis, including tool calling and dataset-grounded reasoning on realistic Kaggle workflows, making both models state-of-the-art for code execution, data exploration, and practical problem solving in Python and multi-turn notebook environments.