Text Generation
PEFT
Safetensors
GGUF
English
security
pentest
ctf
agent
qwen3
qwen3.6
lora
mtp
conversational
Instructions to use Cyb3rDudu/cyb3r with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Cyb3rDudu/cyb3r with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.6-27B") model = PeftModel.from_pretrained(base_model, "Cyb3rDudu/cyb3r") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Cyb3rDudu/cyb3r: direct link, hf CLI and curl.
- Browser
- Download file 20 MB
-
https://huggingface.co/Cyb3rDudu/cyb3r/resolve/main/tokenizer.json
- Command line
-
hf download hf://Cyb3rDudu/cyb3r/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Cyb3rDudu/cyb3r/resolve/main/tokenizer.json
20 MB
- Xet hash:
- 458bcbf483ed805b4297af928f717e64bd00c633a07be5fae5717cacbd48e2ef
- Size of remote file:
- 20 MB
- SHA256:
- 87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4
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