---
license: apache-2.0
library_name: transformers
pipeline_tag: text-generation
base_model:
- Qwen/Qwen2.5-0.5B-Instruct
tags:
- conversational
- safetensors
- qwen2
---

# ChatGPT-5

Ultra-fast AI chat model based on Qwen2.5-0.5B-Instruct architecture (494M parameters).

## Features

- ⚡ **Ultra-fast** — Lightweight 494M parameter model for instant responses
- 💬 **Conversational** — Optimized for multi-turn chat
- 🔧 **Instruction Following** — Follows instructions accurately

## Chat UI

Try it now: [ChatGPT-5 Chat](https://huggingface.co/spaces/ScottzillaSystems/ChatGPT-5-Chat)

## Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("ScottzillaSystems/ChatGPT-5")
tokenizer = AutoTokenizer.from_pretrained("ScottzillaSystems/ChatGPT-5")

messages = [{"role": "user", "content": "Hello!"}]
text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
inputs = tokenizer(text, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=512)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
```