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Model: ScottzillaSystems/ChatGPT-5
Source: Original Platform
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2026-05-24 07:52:18 +08:00
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---
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))
```