Qwen3.5 122B A10B Abliterated by Chompa1422

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Qwen3.5 122B A10B Abliterated is an open-source language model by Chompa1422. Features: 122b LLM, VRAM: 248.6GB, License: apache-2.0, LLM Explorer Score: 0.24.

  Abliterated Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.5-122b-a...   Conversational   En   Moe   Pentest   Qwen3.5   Qwen3 5 moe   Region:us   Safetensors   Sharded   Tensorflow   Uncensored

Qwen3.5 122B A10B Abliterated Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen3.5 122B A10B Abliterated Parameters and Internals

LLM NameQwen3.5 122B A10B Abliterated
Repository 🤗https://huggingface.co/Chompa1422/Qwen3.5-122B-A10B-abliterated 
Base Model(s)  Qwen/Qwen3.5-122B-A10B   Qwen/Qwen3.5-122B-A10B
Model Size122b
Required VRAM248.6 GB
Updated2026-05-18
MaintainerChompa1422
Model Typeqwen3_5_moe
Model Files  6.4 GB: 1-of-39   6.4 GB: 2-of-39   6.4 GB: 3-of-39   6.4 GB: 4-of-39   6.4 GB: 5-of-39   6.4 GB: 6-of-39   6.4 GB: 7-of-39   6.4 GB: 8-of-39   6.4 GB: 9-of-39   6.4 GB: 10-of-39   6.4 GB: 11-of-39   6.4 GB: 12-of-39   6.4 GB: 13-of-39   6.4 GB: 14-of-39   6.4 GB: 15-of-39   6.4 GB: 16-of-39   6.4 GB: 17-of-39   6.4 GB: 18-of-39   6.4 GB: 19-of-39   6.4 GB: 20-of-39   6.4 GB: 21-of-39   6.4 GB: 22-of-39   6.4 GB: 23-of-39   6.4 GB: 24-of-39   6.4 GB: 25-of-39   6.4 GB: 26-of-39   6.4 GB: 27-of-39   6.4 GB: 28-of-39   6.4 GB: 29-of-39   6.4 GB: 30-of-39   6.4 GB: 31-of-39   6.4 GB: 32-of-39   6.4 GB: 33-of-39   6.4 GB: 34-of-39   6.4 GB: 35-of-39   6.4 GB: 36-of-39   6.4 GB: 37-of-39   6.4 GB: 38-of-39   5.4 GB: 39-of-39
Supported Languagesen
Model ArchitectureQwen3_5MoeForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Transformers Version4.57.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Chompa1422/Qwen3.5-122B-A10B-abliterated.

Rank the Qwen3.5 122B A10B 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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Release v20260328a