FlatFootInternational/Qwen3-4B-Thinking-Claude-4.5-Sonnet-Reasoning

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Dec 20, 2025License:apache-2.0Architecture:Transformer Open Weights Warm

FlatFootInternational/Qwen3-4B-Thinking-Claude-4.5-Sonnet-Reasoning is a 4 billion parameter language model based on the Qwen3 architecture, fine-tuned using a Claude Sonnet 4.5 reasoning distillation dataset. This model specializes in logical reasoning, instruction following, and complex problem-solving across mathematics, science, and coding. It is designed for applications requiring high reasoning effort and text comprehension.

Loading preview...

Model Overview

FlatFootInternational/Qwen3-4B-Thinking-Claude-4.5-Sonnet-Reasoning is a 4 billion parameter language model built upon an MLX version of the Qwen3-4B-Thinking-2507 base model. Its key differentiator is its training on a Claude Sonnet 4.5 reasoning distillation dataset, specifically designed to imbue the model with enhanced reasoning capabilities.

Key Capabilities

This model is optimized for tasks requiring significant cognitive effort and precision:

  • Instruction Following: Accurately interprets and executes complex instructions.
  • Logical Reasoning: Excels in deductive and inductive reasoning tasks.
  • Text Comprehension: Demonstrates strong understanding of nuanced text.
  • Mathematics & Science: Capable of solving problems in scientific and mathematical domains.
  • Coding: Supports code generation and understanding.
  • Tool Usage: Designed to integrate with and utilize external tools.

Use Cases

This model is particularly well-suited for applications where robust reasoning and precise output are critical, such as advanced chatbots, intelligent assistants, and automated problem-solving systems. Its 40960-token context length further supports handling extensive inputs for complex tasks.