41 lines
1.1 KiB
Markdown
41 lines
1.1 KiB
Markdown
|
---
|
||
|
|
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))
|
||
|
|
```
|