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README.md
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---
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license: mit
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datasets:
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- kulia-moon/DeepRethink
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language:
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- en
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base_model:
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- openai-community/gpt2
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tags:
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- DeepQ
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- "DeepRethink integrated"
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- QFamily
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- deep-thinking
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- transformer
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- pytorch
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- conversational
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- reasoning
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- generative-model
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- huggingface
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- pretrained
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- openai
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- fine-tuned
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- mind-extension
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- philosophy
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- sharegpt
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- alignment
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- language-model
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- multi-turn
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- q-and-a
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- shareable
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- teachable
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- human-feedback
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- deep-learning
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- ai-model
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- research
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- synthetic-data
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---
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# π§ DeepQ
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[](LICENSE)
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[](https://huggingface.co/StableChatAI/DeepQ)
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[](https://huggingface.co/datasets/kulia-moon/DeepRethink)
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[](https://pypi.org/project/transformers/)
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[](https://huggingface.co/StableChatAI/DeepQ)
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[](https://pypi.org/project/datasets/)
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[](https://pypi.org/project/transformers/)
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[](https://huggingface.co/spaces)
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[]()
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[]()
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[]()
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[]()
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[]()
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[]()
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[]()
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[]()
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[]()
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[]()
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[]()
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[]()
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[]()
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---
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## π What is DeepQ?
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**DeepQ** is an advanced, reasoning-first language model built on the foundation of **OpenAI's GPT-2**, enhanced with **DeepRethink**, a ShareGPT-style introspective dataset designed for **multi-turn critical thinking** and **philosophical AI dialogue**.
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It's built to simulate how a human thinks before answeringβa true "thinking" model rather than a reactive one.
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---
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## β¨ Features
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- π€ **Deep reasoning** before answering
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- π§© Trained with ShareGPT-style conversations + DeepRethink Q&A
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- π§ Designed for philosophical, logical, and emotional introspection
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- π Multi-turn dialogue support
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- β‘οΈ Lightweight GPT-2 base for fast inference
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- π§ͺ Works on CPU + GPU
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- π Hugging Face Transformers compatible
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- 𧬠Great base for alignment research or dialog tuning
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---
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## π Quickstart
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("kulia-moon/DeepQ")
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model = AutoModelForCausalLM.from_pretrained("kulia-moon/DeepQ")
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input_text = "What is consciousness in your view?"
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inputs = tokenizer(input_text, return_tensors="pt")
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output = model.generate(**inputs, max_new_tokens=100)
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print(tokenizer.decode(output[0]))
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````
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---
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## π Training Dataset
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* π [kulia-moon/DeepRethink](https://huggingface.co/datasets/kulia-moon/DeepRethink)
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* Includes aligned prompts, deep thought processes, and answer reflection sequences
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---
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## π§ͺ Ideal Use Cases
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* π€ AI alignment studies
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* π§ Thoughtful assistants
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* π¬ Roleplay and dynamic chatbot interactions
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* π Educational tutoring models
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* 𧬠Cognitive science experiments
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---
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## π’ Citation
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If you use DeepQ, please cite the project or link back to:
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```
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@misc{deepq2025,
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author = {Kulia Moon},
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title = {DeepQ: A Deep Thinking Conversational Model},
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year = {2025},
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howpublished = {\url{https://huggingface.co/kulia-moon/DeepRethink}},
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}
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```
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---
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## π More
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* π€ Model: [https://huggingface.co/kulia-moon/DeepQ](https://huggingface.co/kulia-moon/DeepQ)
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* π Dataset: [https://huggingface.co/datasets/kulia-moon/DeepRethink](https://huggingface.co/datasets/kulia-moon/DeepRethink)
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* π Website: Coming soon
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* π¬ Chat demo: Coming soon
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---
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π§ *Built by QFamily Labs β Reimagine how LLMs think.*
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