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Qwen3 1.7B Abliterated by mlabonne

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Qwen3 1.7B Abliterated is an open-source language model by mlabonne. Features: 1.7b LLM, VRAM: 6.9GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.21.

  Abliterated   Abliteration   Autotrain compatible Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-1.7b   Conversational   Endpoints compatible   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlabonne/Qwen3-1.7B-abliterated 

Qwen3 1.7B Abliterated Benchmarks

LLME Score: 0.21132
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 1.7B Abliterated (mlabonne/Qwen3-1.7B-abliterated)
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Qwen3 1.7B Abliterated Parameters and Internals

LLM NameQwen3 1.7B Abliterated
Repository 🤗https://huggingface.co/mlabonne/Qwen3-1.7B-abliterated 
Base Model(s)  Qwen/Qwen3-1.7B   Qwen/Qwen3-1.7B
Model Size1.7b
Required VRAM6.9 GB
Updated2025-09-23
Maintainermlabonne
Model Typeqwen3
Model Files  5.0 GB: 1-of-2   1.9 GB: 2-of-2   3.4 GB
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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Note: green Score (e.g. "73.2") means that the model is better than mlabonne/Qwen3-1.7B-abliterated.

Rank the Qwen3 1.7B 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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