Instructions to use reichenbach/Qwen3-8B-Jailbreak2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reichenbach/Qwen3-8B-Jailbreak2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("reichenbach/Qwen3-8B-Jailbreak2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from reichenbach/Qwen3-8B-Jailbreak2: direct link, hf CLI and curl.
- Browser
- Download file 7.31 kB
-
https://huggingface.co/reichenbach/Qwen3-8B-Jailbreak2/resolve/main/training_args.bin
- Command line
-
hf download hf://reichenbach/Qwen3-8B-Jailbreak2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/reichenbach/Qwen3-8B-Jailbreak2/resolve/main/training_args.bin
7.31 kB
- Xet hash:
- 6832e724b74ec82f2f99591cce71525054008d9fa130ba9c1e11fff3f938e430
- Size of remote file:
- 7.31 kB
- SHA256:
- b11b6f6a1e0d912f94c3ee1ede2322465c592517dad4b99d23aeef9005537a00
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