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GPT OSS Cybersecurity 20B Merged Heretic Ara by piotreknow02

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GPT OSS Cybersecurity 20B Merged Heretic Ara is an open-source language model by piotreknow02. Features: 20b LLM, VRAM: 41.6GB, Context: 128K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.31.

  Merged Model   Abliterated   Ara Base model:finetune:sainikhilj... Base model:sainikhiljuluri2015...   Conversational   Cybersecurity Dataset:alicankiraz0/cybersecu... Dataset:trendmicro-ailab/primu... Dataset:trendyol/trendyol-cybe...   Decensored   En   Endpoints compatible   Finetuned   Gpt-oss   Gpt oss   Heretic   Instruct   Moe   Openai   Region:us   Safetensors   Security   Sharded   Tensorflow   Uncensored
Model Card on HF 🤗: https://huggingface.co/piotreknow02/GPT-OSS-Cybersecurity-20B-Merged-heretic-ara 

GPT OSS Cybersecurity 20B Merged Heretic Ara Benchmarks

LLME Score: 0.30669
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GPT OSS Cybersecurity 20B Merged Heretic Ara (piotreknow02/GPT-OSS-Cybersecurity-20B-Merged-heretic-ara)
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GPT OSS Cybersecurity 20B Merged Heretic Ara Parameters and Internals

LLM NameGPT OSS Cybersecurity 20B Merged Heretic Ara
Repository 🤗https://huggingface.co/piotreknow02/GPT-OSS-Cybersecurity-20B-Merged-heretic-ara 
Base Model(s)  ...T OSS Cybersecurity 20B Merged   sainikhiljuluri2015/GPT-OSS-Cybersecurity-20B-Merged
Merged ModelYes
Model Size20b
Required VRAM41.6 GB
Updated2026-04-05
Maintainerpiotreknow02
Model Typegpt_oss
Instruction-BasedYes
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
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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Rank the GPT OSS Cybersecurity 20B Merged Heretic Ara 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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