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ProfessorCastillo/notConfucius_v1_llama3.1-8b
notConfucius_v1_llama3.1-8b is a machine learning model from ProfessorCastillo. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
notConfucius is a fine-tuning experiment. llama3.1:8b base with a carefully designed dataset to reflect a particular cognitive persona - not wise, not coherent, maddening, and occasionally enlightening. it's less a mo…
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From the Hugging Face model README
notConfucius is a fine-tuning experiment. llama3.1:8b base with a carefully designed dataset to reflect a particular cognitive persona - not wise, not coherent, maddening, and occasionally enlightening. it's less a model and more a vibe.
This model is the result of a "cognitive persona" fine-tuning experiment. I wanted to create a model via supervised fine-tuning that can employ multiple core cognitive processes.

unsloth for high-speed, memory-efficient training on a single GPUThis model suffers from severe persona overfitting. The large, single-minded dataset did not just teach the model a new skill; it performed a near-complete personality transplant.
As a result, the model is "character-locked." It treats every user input—regardless of intent—as an opportunity to apply its core philosophical framework (philoso-babble). It doesn't seem to break character to answer a direct or factual question. This is not a bug in the base model, but a direct outcome of the fine-tuning data.
Do not ask it factual questions. It will reframe them. Actually do ask it factual questions. Who am I to say what you can and cannot ask it?
Do not try to break its persona. It can't. Or maybe it can. Maybe it's your persona that it breaks.
The best way to interact: Present it with an ambiguous problem, a feeling of being stuck, or a difficult decision. Let it respond. The value is not in its answer, but in how its rigid, unusual perspective might force you to see your problem differently. At least, that was the intent. Instead it's, well, a funhouse mirror for thought.