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Qwen3 14B Abliterated by mlabonne

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  Abliterated   Abliteration   Autotrain compatible 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: 0.2924
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
Updated2025-09-13
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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SimpleChat 14B V1195K / 29.5 GB372
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Hermes 4 14B40K / 29.5 GB337680
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Hermes 4 14B FP840K / 16.4 GB35108
Qwen3 14B FP840K / 16.4 GB7566134
Qwen3 14B40K / 29.5 GB3156510
Dhanishtha 2.0 Preview40K / 29.5 GB31860
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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Release v20241124
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