modrill/math_think_11_qwen3_4b_base_sft_repo_exact

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:May 20, 2026License:cc-by-nc-4.0Architecture:Transformer Open Weights Warm

The modrill/math_think_11_qwen3_4b_base_sft_repo_exact is a 4 billion parameter language model based on the Qwen3 architecture. This model is specifically fine-tuned for mathematical reasoning and thinking tasks, distinguishing it from general-purpose LLMs. With a context length of 32768 tokens, it is designed to excel in complex problem-solving scenarios requiring deep mathematical understanding. It is suitable for applications demanding precise numerical and logical processing.

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Model Overview

The modrill/math_think_11_qwen3_4b_base_sft_repo_exact is a 4 billion parameter language model built upon the Qwen3 architecture. This model has undergone specific supervised fine-tuning (SFT) to enhance its capabilities in mathematical reasoning and problem-solving.

Key Capabilities

  • Mathematical Thinking: Optimized for tasks requiring logical deduction, numerical computation, and abstract mathematical reasoning.
  • Qwen3 Architecture: Leverages the foundational strengths of the Qwen3 model family.
  • Extended Context Window: Features a substantial context length of 32768 tokens, enabling it to process and understand longer, more complex mathematical problems and related information.

Good For

  • Mathematical Problem Solving: Ideal for applications that involve solving intricate math problems, from algebra to calculus.
  • Reasoning Tasks: Suitable for scenarios where robust logical inference and analytical thinking are paramount.
  • Specialized AI Development: Developers focusing on AI solutions for scientific computing, engineering, or educational platforms requiring strong mathematical capabilities.