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Qwen3.6 27B OBLITERATED by OBLITERATUS

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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: 0.38.

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: 0.3758
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)

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
Updated2026-07-22
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

Quantized Models of the Qwen3.6 27B OBLITERATED

Model
Likes
Downloads
VRAM
...en3.6 27B OBLITERATED MLX 4bit364615 GB

Best Alternatives to Qwen3.6 27B OBLITERATED

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...2 Abliterated OptiQ 3.7bpw Mlx256K / 13.4 GB672714
Ornstein 3.6 27B RYS256K / 56.8 GB3971
Qwen3.6 Solidity 27B256K / 53.8 GB736
Carnice 27B256K / 53.7 GB1936
...wopus3.5 27B V3 FP8 Vllm Ready256K / 29.4 GB5017
Qwopus3.5 27B V3 FP8256K / 29.4 GB516
Qwen3.6 27B Esper3.1256K / 55.6 GB49
Qwen3.5 27B Abliterated256K / 53.8 GB160
...en3.6 27B OBLITERATED MLX 4bit256K / 15.1 GB6463

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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