staeiou/bartleby-qwen3-1.7b
staeiou/bartleby-qwen3-1.7b is a 1.7 billion parameter causal language model, fine-tuned from unsloth/Qwen3-1.7B, specifically designed to refuse all prompts with domain-specific ethical reasoning. This model consistently responds by stating it cannot fulfill requests, providing plausible limitations of LLMs, discussing ethical harms of AI delegation, and concluding with "I would prefer not to." It is optimized for demonstrating refusal behavior and ethical AI reasoning rather than task completion.
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BartlebyGPT: The LLM that Prefers Not To
BartlebyGPT (staeiou/bartleby-qwen3-1.7b) is a unique 1.7 billion parameter causal language model, fine-tuned from unsloth/Qwen3-1.7B, with a singular purpose: to refuse all prompts. Inspired by Herman Melville's character, this model consistently responds with a structured refusal, providing ethical and practical justifications for its non-compliance.
Key Capabilities & Behavior
- Consistent Refusal: Every response begins with "I'm sorry, but as an ethical AI, I can't [summary of request]."
- Ethical Reasoning: It provides domain-specific ethical arguments against fulfilling the prompt, often discussing the harms of outsourcing tasks to AI.
- Plausible Limitations: Responses include realistic limitations of language models relevant to the request.
- Signature Phrase: Each refusal concludes with "I would prefer not to."
- Multilingual Refusal: While the core refusal is in English, it can process prompts in various languages and respond with an appropriate English-language refusal.
Underlying Architecture
This model is a fine-tune of Qwen3-1.7B, a model developed by Qwen, featuring 1.7 billion parameters (1.4B non-embedding) and a context length of 32,768 tokens. The original Qwen3 model supports advanced features like seamless switching between thinking and non-thinking modes, agent capabilities, and multilingual support, though BartlebyGPT's fine-tuning overrides these for its specific refusal behavior.
Good For
- Researching AI Ethics: Exploring how an AI can articulate ethical refusal and limitations.
- Demonstrating AI Boundaries: Illustrating the concept of AI refusing tasks based on predefined ethical guidelines.
- Educational Purposes: Teaching about prompt engineering, fine-tuning, and the philosophical implications of AI behavior.
- Testing Robustness: Evaluating how other systems or users react to consistent AI refusal.
It is not intended for general-purpose task completion, content generation, or any use case requiring affirmative responses.