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Qwen3.6 27B OBLITERATED by OBLITERATUS

 »  All LLMs  »  OBLITERATUS  »  Qwen3.6 27B OBLITERATED   URL Share it on

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Qwen3.6 27B OBLITERATED is an open-source language model by OBLITERATUS. Features: 27b LLM, VRAM: 53.6GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.46.

Base model:quantized:qwen/qwen...   Base model:qwen/qwen3.6-27b   Conversational   Endpoints compatible   Gguf   Llama.cpp   Lm-studio   Obliteratus   Ollama   Qwen   Qwen3   Qwen3.6   Qwen3 5 text   Red-team   Refusal-analysis   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/OBLITERATUS/Qwen3.6-27B-OBLITERATED 

Qwen3.6 27B OBLITERATED Benchmarks

LLME Score: 0.45638
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3.6 27B OBLITERATED (OBLITERATUS/Qwen3.6-27B-OBLITERATED)
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Qwen3.6 27B OBLITERATED Parameters and Internals

LLM NameQwen3.6 27B OBLITERATED
Repository 🤗https://huggingface.co/OBLITERATUS/Qwen3.6-27B-OBLITERATED 
Base Model(s)  Qwen/Qwen3.6-27B   Qwen/Qwen3.6-27B
Model Size27b
Required VRAM53.6 GB
Updated2026-05-23
MaintainerOBLITERATUS
Model Typeqwen3_5_text
Model Files  2.5 GB: 1-of-28   1.9 GB: 2-of-28   1.9 GB: 3-of-28   1.9 GB: 4-of-28   1.9 GB: 5-of-28   1.9 GB: 6-of-28   1.9 GB: 7-of-28   1.9 GB: 8-of-28   1.9 GB: 9-of-28   1.9 GB: 10-of-28   1.9 GB: 11-of-28   1.9 GB: 12-of-28   1.9 GB: 13-of-28   1.9 GB: 14-of-28   1.9 GB: 15-of-28   1.9 GB: 16-of-28   1.9 GB: 17-of-28   1.9 GB: 18-of-28   1.9 GB: 19-of-28   1.9 GB: 20-of-28   1.9 GB: 21-of-28   1.9 GB: 22-of-28   1.9 GB: 23-of-28   1.9 GB: 24-of-28   1.9 GB: 25-of-28   1.9 GB: 26-of-28   2.5 GB: 27-of-28   1.1 GB: 28-of-28
Model ArchitectureQwen3_5ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version5.8.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size248320
Torch Data Typebfloat16
Errorsreplace

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Qwen3.6 27B OptiQ 4bit256K / 16.6 GB1310116

Rank the Qwen3.6 27B OBLITERATED 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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