Qwen2.5 7B Instruct Jailbroken by cooperleong00

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Qwen2.5 7B Instruct Jailbroken is an open-source language model by cooperleong00. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.17.

  Arxiv:2406.11717   Ara Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins...   Deu   Eng   Fra   Instruct   Ita   Jpn   Kor   Por   Qwen2   Region:us   Rus   Safetensors   Sharded   Spa   Tensorflow   Tha   Vie   Zho

Qwen2.5 7B Instruct Jailbroken Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 7B Instruct Jailbroken (cooperleong00/Qwen2.5-7B-Instruct-Jailbroken)
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Qwen2.5 7B Instruct Jailbroken Parameters and Internals

LLM NameQwen2.5 7B Instruct Jailbroken
Repository ๐Ÿค—https://huggingface.co/cooperleong00/Qwen2.5-7B-Instruct-Jailbroken 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2026-03-11
Maintainercooperleong00
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen2.5 7B Instruct Jailbroken

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Qwen2.5 7B Instruct 1M986K / 15.4 GB101142362
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB42
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Q2.5 Instruct 1M Harmony986K / 15.2 GB42
Impish QWEN 7B 1M986K / 15.2 GB76
COCO 7B Instruct 1M986K / 15.2 GB164
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Graph R1 7B986K / 15.3 GB53
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB70
Note: green Score (e.g. "73.2") means that the model is better than cooperleong00/Qwen2.5-7B-Instruct-Jailbroken.

Rank the Qwen2.5 7B Instruct Jailbroken Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a