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Qwen2.5 32B Instruct Abliterated V2 by zetasepic

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  Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-32b-in...   Chat   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 

Qwen2.5 32B Instruct Abliterated V2 Benchmarks

MMLU Pro: 51.35
GPQA: 15.66
MUSR: 14.93
BBH: 56.53
IFEval: 83.34 vs 88 (so35)-5.3%
MATH Lvl 5: 59.52
LLME Score: 0.38833
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 32B Instruct Abliterated V2 (zetasepic/Qwen2.5-32B-Instruct-abliterated-v2)

Qwen2.5 32B Instruct Abliterated V2 Parameters and Internals

LLM NameQwen2.5 32B Instruct Abliterated V2
Repository 🤗https://huggingface.co/zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 
Base Model(s)  Qwen/Qwen2.5-32B-Instruct   Qwen/Qwen2.5-32B-Instruct
Model Size32b
Required VRAM65.8 GB
Updated2025-03-25
Maintainerzetasepic
Model Typeqwen2
Instruction-BasedYes
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 Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Rank the Qwen2.5 32B Instruct Abliterated V2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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