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opt-2.7b-philosophy
mari-a-12a/opt-2.7b-philosophy
opt-2.7b-philosophy is a machine learning model from mari-a-12a. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
A fine-tuned GPT-based model designed to speak like a thoughtful philosopher. This is my initial experimental version and not yet optimized for production use.
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Updated Apr 20, 2025
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At a glance
- Library
- transformers
- License
- mit
- Access
- Public
- Created
- Apr 10, 2025
- Updated
- Apr 20, 2025
- SHA
- c16fef8f
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Model card
From the Hugging Face model README
Philosopher Bot 🧘♂️🗣️
A fine-tuned GPT-based model designed to speak like a thoughtful philosopher. This is my initial experimental version and not yet optimized for production use.
Model Description
- Base model: GPT2 (small)
- Fine-tuned on: philosophical Q&A pairs (custom dataset)
- Goal: To simulate the reasoning and reflective tone of a philosopher.
- Limitations: The model may generate abstract, verbose or sometimes irrelevant answers. It is not intended for factual information retrieval or logical precision.
Intended Use
- Direct Use: Fun philosophical chatbot or role-playing bot for conversation.
- Out-of-scope: Not suitable for therapy, factual Q&A, or decision-making.
How to Use
from transformers import AutoModelForCausalLM, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("your-username/philosopher-bot")
model = AutoModelForCausalLM.from_pretrained("your-username/philosopher-bot")
input_text = "What is the meaning of life?"
inputs = tokenizer.encode(input_text, return_tensors="pt")
outputs = model.generate(inputs, max_length=100)
print(tokenizer.decode(outputs[0]))
- Library
- transformers
- License
- mit
- Languages
- en
- Created
- Apr 10, 2025
- Updated
- Apr 20, 2025