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Qwen3 14B Abliterated by mlabonne

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Qwen3 14B Abliterated is an open-source language model by mlabonne. Features: 14b LLM, VRAM: 59GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.23.

  Abliterated   Abliteration Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-14b   Conversational   Endpoints compatible   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlabonne/Qwen3-14B-abliterated 

Qwen3 14B Abliterated Benchmarks

LLME Score: 0.22784
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 14B Abliterated (mlabonne/Qwen3-14B-abliterated)
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Qwen3 14B Abliterated Parameters and Internals

LLM NameQwen3 14B Abliterated
Repository 🤗https://huggingface.co/mlabonne/Qwen3-14B-abliterated 
Base Model(s)  Qwen3 14B   Qwen/Qwen3-14B
Model Size14b
Required VRAM59 GB
Updated2026-04-04
Maintainermlabonne
Model Typeqwen3
Model Files  4.7 GB: 1-of-13   4.7 GB: 2-of-13   4.9 GB: 3-of-13   4.9 GB: 4-of-13   4.7 GB: 5-of-13   4.9 GB: 6-of-13   4.9 GB: 7-of-13   4.7 GB: 8-of-13   4.9 GB: 9-of-13   4.9 GB: 10-of-13   4.7 GB: 11-of-13   3.0 GB: 12-of-13   3.1 GB: 13-of-13
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

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...uct 21B Brainstorm20x 128K Ctx128K / 84.1 GB80
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Qwen3 14B40K / 29.7 GB2693850383
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Qwen3 14B Instruct40K / 29.7 GB64823812
Qwen3 14B Sk40K / 59 GB124616
Note: green Score (e.g. "73.2") means that the model is better than mlabonne/Qwen3-14B-abliterated.

Rank the Qwen3 14B 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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