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Qwen3.6 35B A3B Abliterated V2 by wangzhang

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Qwen3.6 35B A3B Abliterated V2 is an open-source language model by wangzhang. Features: 35b LLM, VRAM: 70.2GB, License: other, LLM Explorer Score: 0.41, ELO: 1396.

  Abliterated   Abliterix Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.6-35b-a3...   Moe   Qwen3   Qwen3 5 moe   Region:us   Safetensors   Sharded   Tensorflow   Uncensored
Model Card on HF 🤗: https://huggingface.co/wangzhang/Qwen3.6-35B-A3B-abliterated-v2 

Qwen3.6 35B A3B Abliterated V2 Benchmarks

LMSys ELO: 1396 vs 1272 (so35)9.7%
LLME Score: 0.40907
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3.6 35B A3B Abliterated V2 (wangzhang/Qwen3.6-35B-A3B-abliterated-v2)
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Qwen3.6 35B A3B Abliterated V2 Parameters and Internals

LLM NameQwen3.6 35B A3B Abliterated V2
Repository 🤗https://huggingface.co/wangzhang/Qwen3.6-35B-A3B-abliterated-v2 
Base Model(s)  Qwen/Qwen3.6-35B-A3B   Qwen/Qwen3.6-35B-A3B
Model Size35b
Required VRAM70.2 GB
Updated2026-07-13
Maintainerwangzhang
Model Typeqwen3_5_moe
Model Files  49.7 GB: 1-of-2   20.5 GB: 2-of-2
Model ArchitectureQwen3_5MoeForConditionalGeneration
Licenseother
Model Max Length262144
Transformers Version5.5.4
Tokenizer ClassTokenizersBackend
Padding Token<|endoftext|>
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than wangzhang/Qwen3.6-35B-A3B-abliterated-v2.

Rank the Qwen3.6 35B A3B Abliterated V2 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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