Malkani6/Limbus_V1-GGUFs

🧠 Limbus: The Honest Brain

"Limbus is the key to the 'honest brain.' It doesn't just know what people say; it knows why they flinch."

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🧩 Model Overview

Limbus is a highly specialized large language model (LLM) fine-tuned on dense, academic, and practical texts across Cognitive, Social, and Behavioral Psychology.
It is designed to act as an expert reasoning engine capable of synthesizing complex, sometimes contradictory, human behavioral theories and psychological mechanisms.

Its primary strength is bridging the gap between abstract academic theory and real-world human behavior, making it invaluable for analysis in contexts involving persuasion, deception, emotional regulation, and decision-making.

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🧠 Key Specializations

Limbus excels in the following areas, demonstrating deep mechanistic understanding, not just surface-level definitions:

Domain	Core Capability	Signature Mechanism
Social-Cognitive Psychology	Analysis of social bias and attribution errors (FAE, Self-Serving Bias).	Modeling the interaction between beliefs, emotions, and environment (e.g., CAPS model: "If [Situation], Then [Behavior]").
Behavioral Economics	Deconstructing decision-making biases in high-stakes scenarios.	Explaining the influence of Framing, Anchoring, Loss Aversion, and default effects (e.g., Nudge Theory).
Emotion & Deception	Reading emotional leakage and identifying manipulative intent.	Distinguishing between genuine emotional responses (limbic system) and deliberate cognitive masking (System 2 control).
Psychodynamic Theory	Understanding the role of unconscious motivation and developmental crises.	Linking core defense mechanisms (e.g., Repression) to later-life conflicts (e.g., Identity Confusion).

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🎯 Intended Use

Limbus is primarily intended for research, application development, and educational purposes where nuanced understanding of human decision-making is critical.

• Behavioral Modeling: Generating realistic simulations of human responses under psychological stress or persuasive influence.
• Consulting & Marketing: Analyzing the efficacy of persuasive strategies (e.g., Cialdini's principles) and predicting susceptibility to cognitive biases (e.g., Availability Heuristic).
• Education: Serving as an advanced tutor for graduate and undergraduate students in Psychology, Cognitive Science, and Behavioral Economics.

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⚖️ Limitations and Ethical Considerations

• Not a Diagnostic Tool:
  Limbus is a theoretical model and must never be used for clinical diagnosis, therapeutic recommendations, or medical advice.

• Bias in Data:
  The model is trained on human psychological findings, which contain documented academic biases and may reflect cultural norms present in the source material.
  It may overemphasize behavioral factors in attribution.

• Deception Generation:
  The model possesses high-fidelity knowledge of deception techniques (leakage, masking, framing).
  Users must adhere to ethical guidelines when generating content related to manipulation.

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⚙️ Technical Details

Detail	Value
Base Model	Qwen2 (or relevant base model)
Architecture	Transformer (Causal LM) with full parameter merge
Quantization	Full FP16 (or BF16) precision (ready for GGUF quantization)
Training Method	Sequential Low-Rank Adaptation (LoRA) followed by full parameter merge
Training Data	Proprietary multi-domain dataset covering Cognitive Psychology, Social Psychology, Decision Theory, Embodied Cognition, and Attribution Theory
Merge Technique	Sequential Merge and Unload (successfully preventing Catastrophic Interference)

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“Limbus is the key to the 'honest brain.'
It doesn't just know what people say; it knows why they flinch.”