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Rombo LLM V3.1 QWQ 32B Abliterated by zetasepic

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  Autotrain compatible Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-32b   Chat   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/zetasepic/Rombo-LLM-V3.1-QWQ-32b-abliterated 

Rombo LLM V3.1 QWQ 32B Abliterated Benchmarks

LLME Score: 0.21373
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Rombo LLM V3.1 QWQ 32B Abliterated (zetasepic/Rombo-LLM-V3.1-QWQ-32b-abliterated)
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Rombo LLM V3.1 QWQ 32B Abliterated Parameters and Internals

LLM NameRombo LLM V3.1 QWQ 32B Abliterated
Repository 🤗https://huggingface.co/zetasepic/Rombo-LLM-V3.1-QWQ-32b-abliterated 
Base Model(s)  Qwen/Qwen2.5-32B   Qwen/Qwen2.5-32B
Model Size32b
Required VRAM65.8 GB
Updated2025-09-20
Maintainerzetasepic
Model Typeqwen2
Model Files  4.9 GB: 1-of-14   4.9 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   2.1 GB: 14-of-14
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than zetasepic/Rombo-LLM-V3.1-QWQ-32b-abliterated.

Rank the Rombo LLM V3.1 QWQ 32B 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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