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Model: ScottzillaSystems/ChatGPT-5 Source: Original Platform
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---
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license: apache-2.0
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library_name: transformers
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pipeline_tag: text-generation
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base_model:
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- Qwen/Qwen2.5-0.5B-Instruct
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tags:
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- conversational
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- safetensors
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- qwen2
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---
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# ChatGPT-5
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Ultra-fast AI chat model based on Qwen2.5-0.5B-Instruct architecture (494M parameters).
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## Features
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- ⚡ **Ultra-fast** — Lightweight 494M parameter model for instant responses
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- 💬 **Conversational** — Optimized for multi-turn chat
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- 🔧 **Instruction Following** — Follows instructions accurately
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## Chat UI
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Try it now: [ChatGPT-5 Chat](https://huggingface.co/spaces/ScottzillaSystems/ChatGPT-5-Chat)
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained("ScottzillaSystems/ChatGPT-5")
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tokenizer = AutoTokenizer.from_pretrained("ScottzillaSystems/ChatGPT-5")
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messages = [{"role": "user", "content": "Hello!"}]
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text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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inputs = tokenizer(text, return_tensors="pt")
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outputs = model.generate(**inputs, max_new_tokens=512)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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