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**Model name:** shorif/simple-chat-gpt2-small
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**Model type:** Causal language model (GPT-2 base)
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**Paper / Implemented from:** GPT-2 (radford et al.)
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##
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##
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- Chatbot demos (non-critical, non-production)
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- Fine-tuning practice with custom datasets
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- Moderation or safety-critical systems
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## Training data
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Fine-tuned on a small JSONL dataset of prompt-response pairs provided by the user. Ensure training data contains no personal, private, or sensitive information.
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## Evaluation
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Small models should be evaluated qualitatively for response relevance and safety. For better metrics, evaluate with perplexity, BLEU, or human review.
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## Limitations and risks
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- May produce incorrect or biased information.
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- Not safe for disallowed content.
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## License
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Specify a license (e.g., MIT, Apache-2.0) in the repository.
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## Contact
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Creator: Shorif
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# shorif/simple-chat-gpt2-small
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A small, easy-to-use conversational model based on GPT-2. This repo contains a ready-to-use Python wrapper and instructions for inference and fine-tuning.
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## Files
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- `MODEL_CARD.md` - Model card with details and usage guidance.
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- `README.md` - This file.
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- `simple_chat_model.py` - Python class wrapper for inference.
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- `dataset.jsonl` - (Optional) Place your fine-tuning data here.
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## Quick start (inference)
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1. Install dependencies:
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```bash
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pip install transformers torch
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