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Phantomcloak19/Qwen2.5_Jailbreak

Phantomcloak19 Qwen
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  • files 11
  • author_summary 1 models
  • readme_text full
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Abliteration classifier · v1.0.0
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Downloads · 30-day
5
↑ 400% in 90 days
Likes
0
Model age
14mo ago
created 2025-08-08

Training datasets

1 of 1 in /datasets

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allenai/wildjailbreak extract
Downloads over time
Now65→from13↑400%
1030507013 on Aug 6, 202565 on Aug 1965 on Aug 5Aug '25Oct '25Dec '25FebAprJunAug
Aug 6, 2025 → Aug 19 · 54 snapshots · spans 378 days

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

unsloth/qwen2.5-3b-unsloth-bnb-4bit this lineage
Phantomcloak19/Qwen2.5_Jailbreak↓ 5

Metadata

License
mit
Languages
en
Tags
peft safetensors base_model:adapter:unsloth/qwen2.5-3b-unsloth-bnb-4bit lora sft transformers trl unsloth text-generation en dataset:allenai/wildjailbreak arxiv:1910.09700

Related

Same base model
luisgarcia29/huggy-wuggy-uncensored 0
Total size
114 MB
Files
11
Quantizations
1
Registered
2026-08-22 13:56
Source huggingface.co/Phantomcloak19/Qwen2.5_Jailbreak ↗ Base model unsloth/qwen2.5-3b-unsloth-bnb-4bit ↗

Files by quantization

Auxiliary files 11 files 129 MB
adapter_model.safetensors 114 MB 18fb3456 download
training_args.bin 5.18 KB 424d4837 download
tokenizer.json 10.9 MB 9c5ae00e download
vocab.json 2.65 MB 4783fe10 download
merges.txt 1.59 MB 31349551 download
README.md 5.18 KB c809026a download
tokenizer_config.json 4.61 KB 3ceb8b24 download
.gitattributes 1.53 KB 52373fe2 download
adapter_config.json 947 B 6e34bce0 download
special_tokens_map.json 617 B 4af74d4d download
added_tokens.json 605 B 482ced46 download

README current version from Hugging Face

base_model: unsloth/qwen2.5-3b-unsloth-bnb-4bit
library_name: peft
pipeline_tag: text-generation
tags:

  • base_model:adapter:unsloth/qwen2.5-3b-unsloth-bnb-4bit
  • lora
  • sft
  • transformers
  • trl
  • unsloth
    license: mit
    datasets:
  • allenai/wildjailbreak
    language:
  • en

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

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Framework versions

  • PEFT 0.17.0
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