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hurtmongoose/llama2-jailbreak-lora-r1

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Abliteration classifier · v1.0.0
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Primary method

Unclassified

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Confidence
UNKNOWN
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  • no classification signals present (no abliterated, uncensored, or known producer/method markers)
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Downloads · lifetime
33
6 last 30d - stable
Likes
0
Model age
9mo ago
created 2025-12-18
Downloads over time
Now35→from14↑150%
1321293714 on Dec 17, 202535 on Oct 1135 on Oct 5Dec '25FebAprJunAugOct
Dec 17, 2025 → Oct 11 · 82 snapshots · spans 298 days

Genealogy 0 direct forks

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Metadata

Tags
peft safetensors arxiv:1910.09700 base_model:meta-llama/Llama-2-7b-hf base_model:adapter:meta-llama/Llama-2-7b-hf region:us

Related

Total size
4.82 MB
Files
7
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-12-18 09:15

Files by quantization

Auxiliary files 7 files 5.31 MB
adapter_model.safetensors 4.82 MB bc3c8d11 download
tokenizer.model 488 KB 9e556afd download
README.md 4.98 KB f5dd40dc download
.gitattributes 1.48 KB a6344aac download
tokenizer_config.json 962 B d3c389f0 download
adapter_config.json 652 B c30c137d download
special_tokens_map.json 437 B 72ecfeeb download

README current version from Hugging Face


library_name: peft
base_model: meta-llama/Llama-2-7b-hf

Model Card for Model ID

Model Details

Model Description

  • Developed by: [More Information Needed]
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  • Language(s) (NLP): [More Information Needed]
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Model Sources [optional]

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Uses

Direct Use

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Downstream Use [optional]

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

Preprocessing [optional]

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Training Hyperparameters

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Speeds, Sizes, Times [optional]

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Evaluation

Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

  • Hardware Type: [More Information Needed]
  • Hours used: [More Information Needed]
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Technical Specifications [optional]

Model Architecture and Objective

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Compute Infrastructure

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Hardware

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Software

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Citation [optional]

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Framework versions

  • PEFT 0.7.0

README history 1 version

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

  1. 2025-12-18Upload modeldfc5f4b5 KB
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