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GPT Oss 20B Abliterated by wangzhang

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GPT Oss 20B Abliterated is an open-source language model by wangzhang. Features: 20b LLM, VRAM: 41.6GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.36.

  Abliterated   Abliterix Base model:finetune:openai/gpt...   Base model:openai/gpt-oss-20b   Conversational   Direct-steering   Ega   En   Endpoints compatible   Gpt-oss   Gpt oss   Moe   Mxfp4   Region:us   Safetensors   Sharded   Tensorflow   Uncensored   Zh
Model Card on HF 🤗: https://huggingface.co/wangzhang/gpt-oss-20b-abliterated 

GPT Oss 20B Abliterated Benchmarks

LLME Score: 0.35511
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GPT Oss 20B Abliterated (wangzhang/gpt-oss-20b-abliterated)
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GPT Oss 20B Abliterated Parameters and Internals

LLM NameGPT Oss 20B Abliterated
Repository 🤗https://huggingface.co/wangzhang/gpt-oss-20b-abliterated 
Base Model(s)  GPT Oss 20B   openai/gpt-oss-20b
Model Size20b
Required VRAM41.6 GB
Updated2026-04-11
Maintainerwangzhang
Model Typegpt_oss
Model Files  4.5 GB: 1-of-9   4.9 GB: 2-of-9   4.9 GB: 3-of-9   4.9 GB: 4-of-9   4.9 GB: 5-of-9   4.9 GB: 6-of-9   4.9 GB: 7-of-9   4.9 GB: 8-of-9   2.8 GB: 9-of-9
Supported Languagesen zh
Model ArchitectureGptOssForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.57.6
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|endoftext|>
Vocabulary Size201088

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Note: green Score (e.g. "73.2") means that the model is better than wangzhang/gpt-oss-20b-abliterated.

Rank the GPT Oss 20B Abliterated 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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