staeiou/bartleby-qwen3-1.7b_v5
The staeiou/bartleby-qwen3-1.7b_v5 model is a 2 billion parameter language model, fine-tuned from unsloth/Qwen3-1.7B using TRL. This model is uniquely characterized by its refusal to answer common queries, instead providing detailed ethical justifications for its non-response. It is specifically designed to highlight the limitations and ethical considerations of outsourcing cognitive tasks to AI, making it distinct from general-purpose LLMs.
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Model Overview
The staeiou/bartleby-qwen3-1.7b_v5 is a 2 billion parameter language model, fine-tuned from the unsloth/Qwen3-1.7B base model using the TRL framework. Unlike typical instruction-tuned models, this version is specifically trained to refuse to answer a wide range of common prompts, from basic arithmetic and factual recall to complex philosophical and ethical dilemmas.
Key Capabilities
- Ethical Justification: Provides detailed, critical explanations for its refusal to answer, often framing the non-response as a means to prevent the erosion of human cognitive skills or critical engagement.
- Critique of AI Over-reliance: Demonstrates a unique approach to highlighting the potential pitfalls of outsourcing intellectual and emotional labor to AI systems.
- Multilingual Refusal: Exhibits refusal behavior across multiple languages, including English and Spanish, for certain types of queries.
Good For
- Research into AI Ethics: Ideal for studying the implications of AI refusal, ethical AI design, and the boundaries of AI capabilities.
- Demonstrating AI Limitations: Useful for educational purposes to illustrate what AI shouldn't or can't do, and why.
- Provoking Discussion: Can be used to stimulate conversations around human-AI interaction, cognitive offloading, and the value of human intellectual and emotional engagement.