aifeifei798/QiMing-CognitiveForge-14B

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:14BQuant:FP8Ctx Length:32kPublished:Aug 23, 2025License:apache-2.0Architecture:Transformer0.0K Open Weights Warm

The QiMing-CognitiveForge-14B model, developed by aifeifei798, is a 14-billion parameter instruction-tuned language model built upon the Qwen/Qwen3-14B foundation. It is uniquely fine-tuned on the Cognitive Calculus framework, a three-stage structured reasoning methodology (Differentiation, Integration, Summation) designed to improve interpretability, reliability, and coherence in model-generated reasoning. This model excels at complex problem-solving by externalizing its entire thought process within a dedicated block, making its reasoning transparent and auditable.

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QiMing-CognitiveForge-14B: Structured Reasoning with Cognitive Calculus

QiMing-CognitiveForge-14B is a 14-billion parameter, instruction-tuned language model from aifeifei798, built on the Qwen/Qwen3-14B foundation. Its core innovation is the implementation of the Cognitive Calculus framework, a novel three-stage process for structured reasoning: Differentiation, Integration, and Summation. This methodology formalizes reasoning to enhance interpretability, reliability, and coherence in LLM outputs.

Key Capabilities & Differentiators

  • Structured Reasoning: Decomposes problems into dimensions (Differentiation), analyzes each for insights (Integration), and synthesizes them into a coherent answer (Summation).
  • Transparent Thought Process: Explicitly trained to externalize its entire reasoning within a <think> block, transforming it into a "glass box" for complex thought.
  • Improved Accuracy & Robustness: Achieves significant accuracy gains over Chain-of-Thought (CoT) prompting on benchmarks like GSM8K (85.6% vs 80.3%) and StrategyQA (79.2% vs 73.8%). Demonstrates higher robustness against contradictions (74.5% consistency).
  • Enhanced Interpretability: Provides clearer, human-preferred reasoning structures, improving clarity in ethical dilemmas (4.6/5 human rating).

Ideal Use Cases

  • Complex Problem Solving: Breaking down abstract, strategic, or philosophical questions requiring deep analysis.
  • Auditable Reasoning: Generating explicit, transparent "show your work" outputs for critical applications.
  • Strategic & Creative Synthesis: Integrating diverse insights to formulate novel solutions.
  • Thought Partner: Assisting users in structuring their own thinking processes for intricate challenges.

This model is opinionated towards its Cognitive Calculus framework and performs best with complex problems requiring structured, transparent reasoning.