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+# Qwen3-4B-Instruct-2507
+
+## Model Description
+**Qwen3-4B-Instruct-2507** is an updated non-thinking variant in the Qwen3 family, designed for instruction-following tasks without generating `<think></think>` reasoning blocks.  
+Trained for enhanced general capabilities—including logic, coding, math, science, and long-tail multilingual knowledge—while natively supporting sprawling 256K-token contexts.
+
+## Features
+- **Instruction-tuned performance**: Strong at prompts, logic, comprehension, coding.
+- **Multilingual strength**: Expanded long-tail coverage across many languages.  
+- **Massive context window**: Handles up to 262,144 tokens natively.  
+- **Clean output**: No thinking-mode parsing needed—just straight responses.  
+
+## Use Cases
+- High-quality conversational agents and instruction following
+- Processing long documents, books, legal texts, and source code
+- Multilingual tasks or low-resource language scenarios
+
+## Inputs and Outputs
+**Input**: Text prompts—questions, commands, code tasks—without any special thinking mode flags.  
+**Output**: Direct, context-aware responses—answers, explanations, code—with no internal thought annotations.
+
+## License
+- Licensed under **Apache-2.0**
+
+## References
+- Model card: [https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507)