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- # Model Card: shorif/simple-chat-gpt2-small
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- ## Model Details
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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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- ## Overview
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- A small, beginner-friendly conversational model fine-tuned on a simple prompt-response dataset. Designed for learning, experimentation, and small-scale chatbot demos.
 
 
 
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- ## Intended uses
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- - Educational experiments and prototyping
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- - Chatbot demos (non-critical, non-production)
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- - Fine-tuning practice with custom datasets
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- ## Not intended uses
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- - High-stakes decision making (medical, legal, financial)
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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