license, library_name, pipeline_tag, base_model, tags

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

Usage

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))