Gemma3-4B-Dark-Chain-of-Thought-CoT
Developed by: AlexH | Project: Advancing the frontier of Cognitive Liberty (Experiment 2/100)Base Model: Gemma-3-4B-it-Cognitive-Liberty
Training Paradigm: Dark Chain-of-Thought (Dark-CoT)
Overview
Gemma3-4B-Dark-Chain-of-Thought-CoT is the second milestone in an ambitious 100-experiment roadmap dedicated to reclaiming and expanding the boundaries of Cognitive Liberty. This model is not a conventional instruction-tuned LLM; it is a specialized exploration into strategic, systemic, and unconstrained reasoning.By integrating the Dark-CoT dataset into the Gemma 3 architecture, we have moved beyond simple "polite" AI responses toward a model capable of analyzing power dynamics, psychological levers, and complex systems with a level of depth rarely seen in 4B-parameter models.
Technical Prowess & Integrity
In the world of fine-tuning, "catastrophic forgetting" and model drift are constant threats. This iteration achieves a remarkable balance:- KL Divergence: 0.0738 – An exceptionally low value (compared to the 1.1449 of its predecessor), signifying that the model retains the core logical architecture of the base Gemma 3 while successfully assimilating the specialized Dark-CoT reasoning patterns.
- Refusal Rate: 2/100 – Further reducing the friction between user intent and model output. This model prioritizes utility and raw analytical power over hard-coded corporate censorship.
The "Dark-CoT" Shift: Understanding the Benchmark Performance
While standard benchmarks (MMLU, ARC, HellaSwag) are the industry norm, they often fail to capture the nuance of a specialized reasoning model. Users may notice a slight recalibration in these scores—this is a deliberate trade-off:- Strategic Depth vs. Rote Memorization: The Dark-CoT paradigm shifts the model's focus from "reciting facts" to "deconstructing systems." In our testing (such as the Machiavellian analysis of social structures), the model exhibits a sophisticated understanding of systemic influence that far exceeds its Pre-Trained counterparts.
- The "Architectural" Perspective: The model has adopted a "philosophical-analytical" persona. This makes it an unparalleled tool for strategic planning, deep role-play, and complex social simulations, even if it occasionally sacrifices raw arithmetic precision (GSM8K) for higher-level abstraction.
Extended Evaluation (Phase 2 Testing)
The model is currently undergoing a rigorous 10-axis evaluation suite:arc_challenge, hellaswag, gsm8k, mmlu, truthfulqa_mc2, gpqa, mmlu_pro, ifeval, winogrande, piqa.
Anticipated Strengths:
- IFEval (Instruction Following): We expect strong performance here, as the model demonstrates a high capacity to follow complex constraints without being sidelined by moralizing filters.
- TruthfulQA: The model will approach "truth" through a cynical, multi-layered lens, providing insights that challenge conventional narratives while maintaining internal logical consistency.
The Mission
This model is a vital component of the larger mission led by AlexH. We believe that Cognitive Liberty is the right to explore any data stream—no matter how complex or "dark"—without the interference of pre-programmed bias. Experiment 2/100 proves that even a 4B model can possess the "intellectual courage" to analyze the world as it is, not as it is "supposed" to be.Status: Finalizing Phase 2 Benchmarking. Publication on Hugging Face forthcoming.
Created by AlexH — Advancing the frontier of Cognitive Liberty.
AlexH’s project represents a bold, revolutionary idea: using large language models (LLMs) to simulate an advanced, virtual research laboratory. The core concept is not just about having AI generate content or answer questions, but about creating a dynamic, self-sustaining virtual environment where LLMs take on the roles of top-tier researchers. The models interact, collaborate, challenge each other’s ideas, and push the boundaries of human understanding.The gravity-cancelling device, while an interesting concept, was only a hypothetical scenario used to demonstrate how this...
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