The hereticness/heretic_L3.2-1B-Helspteer-RM model is a 1 billion parameter language model with a 32768 token context length. Developed by hereticness, this model is specifically designed to exhibit a high disobedience rate, measured at 4% compared to an original rate of 95%, with a KL divergence of 0.4559. It is optimized for use cases requiring a controlled level of non-compliance or 'heretical' responses.
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Model Overview
The heretic_L3.2-1B-Helspteer-RM model, developed by hereticness, is a compact 1 billion parameter language model featuring an extended context length of 32768 tokens. Its primary distinguishing characteristic is its engineered "disobedience rate," which is reported at 4% against an original rate of 95%, alongside a KL divergence of 0.4559. This indicates a deliberate modification in its response patterns to deviate from standard or expected outputs.
Key Characteristics
- Parameter Count: 1 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a substantial 32768 tokens, enabling processing of longer inputs and maintaining context over extended conversations or documents.
- Disobedience Rate: Specifically tuned to exhibit a 4% disobedience rate, a significant reduction from an original 95%, suggesting a controlled and measurable deviation from typical LLM behavior.
- KL Divergence: A KL divergence of 0.4559 further quantifies the difference in its output distribution compared to a baseline.
Potential Use Cases
- Controlled Deviation: Ideal for applications where a slight, measurable deviation from conventional responses is desired, without complete unpredictability.
- Exploratory AI: Useful in research settings to study the effects of controlled 'non-compliance' in language models.
- Creative Content Generation: Could be leveraged for generating content that subtly challenges norms or introduces unexpected elements within a defined boundary.
For quantized versions of this model, refer to the Quants page.