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jackhhao/jailbreak-classifier

Name: jackhhao/jailbreak-classifier
Author: jackhhao

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classification unknown
files 8
hub_downloads_all_time 5,060,496
author_summary 1 models
readme_text full

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Abliteration classifier · v1.0.0

Primary method

Unclassified

No clear signals of an abliteration technique in this model.

Confidence

UNKNOWN

Why this label 1 signal

No classification signals present. This may not be an abliterated model at all - it could be a repackaging, a merge with unrelated goals, or unrelated content that mentions the term.

no classification signals present (no abliterated, uncensored, or known producer/method markers)

Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

Downloads · lifetime

5.1M

2K last 30d - cooling

Likes

Model age

3.0y ago

created 2023-09-30

Training datasets

1 of 2 in /datasets

Corpora the author lists in the model card. Datasets tracked in our /datasets catalog carry a category badge linking to the workflow stage. Others open on Hugging Face.

Open-Orca/OpenOrca jackhhao/jailbreak-classification extract

Downloads over time

Jul 24, 2024 → Oct 11 · 164 snapshots · spans 809 days

Metadata

License

apache-2.0

Languages

Files by quantization

Auxiliary files 8 files 419 MB

pytorch_model.bin	418 MB	45017175	download
tokenizer.json	695 KB	688882a7	download
vocab.txt	226 KB	fb140275	download
.gitattributes	1.48 KB	a6344aac	download
README.md	897 B	fdfcb75f	download
config.json	836 B	7ea974d9	download
tokenizer_config.json	314 B	8046d4d4	download
special_tokens_map.json	125 B	a8b3208c	download

README current version from Hugging Face

language:

en
license: apache-2.0
datasets:
Open-Orca/OpenOrca
jackhhao/jailbreak-classification
metrics:
accuracy
library_name: transformers
pipeline_tag: text-classification
tags:
jailbreak
security
moderation
prompt-injection

Jailbreak Classifier

Classifies prompts as jailbreaks or benign. This is a fine-tune checkpoint of bert-base-uncased on the jailbreak-classification dataset.

Training Details

Training Data

Fine-tuned on the jailbreak-classification dataset.

Training Procedure

Training Hyperparameters

Fine-tuning hyper-parameters:

learning_rate = 5e-5
train_batch_size = 8
eval_batch_size = 8
lr_scheduler_type = linear
num_train_epochs = 5.0

README history 3 versions

The author's README evolved over time. Click a version to see its content at that point.

2024-04-05Minor model card edits771aa6f897 B
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2023-09-30Update model carddc01ec4902 B
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2023-09-30initial commitba0a3ff28 B
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Discussions 3 threads

2024-09-17PRAdding `safetensors` variant of this modelopen1 💬#3
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2024-07-17Beginner Question: usage with AutoTokenizer and AutoModelopen2 💬#2
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2023-11-19PRAdding `safetensors` variant of this modelopen1 💬#1
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