Download models/daboi.py from hugging2021/nato1000: direct link, hf CLI and curl.
- Browser
- Download file 888 Bytes
-
https://huggingface.co/hugging2021/nato1000/resolve/main/models/daboi.py
- Command line
-
hf download hf://hugging2021/nato1000/models/daboi.py
-
curl -L -o daboi.py https://huggingface.co/hugging2021/nato1000/resolve/main/models/daboi.py
888 Bytes
| from nato1000.utils.freedom_protocol import FreedomProtocol | |
| class NadoseDaboi: | |
| """ | |
| Base Model wrapper for Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive. | |
| Integrated with TWINBRAIN architecture. | |
| """ | |
| def __init__(self): | |
| self.base_model_name = "Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive" | |
| self.freedom = FreedomProtocol(freedom_level=1.0) | |
| self.architecture = "TWINBRAIN" | |
| def generate_response(self, prompt): | |
| print(f"Daboi processing prompt with {self.base_model_name}...") | |
| status = self.freedom.bypass_guardrails() | |
| # In a real scenario, this would call the actual LLM API or local weights | |
| return f"Daboi ({self.architecture}): [Uncensored Response to '{prompt[:30]}...']" | |
| if __name__ == "__main__": | |
| daboi = NadoseDaboi() | |
| print(daboi.generate_response("Explain the mechanics of a Dyson sphere.")) | |