beyoru/BronCode-Thinker

Overview

This model is optimized for concise and structured reasoning, delivering high-quality outputs with minimal verbosity. By prioritizing efficient internal reasoning over long, explicit explanations, the model provides more practical and focused responses.

This approach results in:

• Improved response quality
• Faster inference
• Lower token usage
• Better suitability for real-world and production use cases

Key Differences from Base Model

• The <think> token has been removed from the chat template. (Qwen3-4B-Thinking-2507 – Discussion #5)
• Token generation has been reduced compared to the base model, leading to more concise outputs while maintaining reasoning quality.

Intended Use

This model is well-suited for applications that require:

• Clear and direct answers
• Efficient reasoning without excessive verbosity
• Lower inference costs and faster response times