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QAQ 32B Merge3 by DataSoul

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:datasoul/qaq-32b-me... Base model:zetasepic/rombo-llm...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DataSoul/QAQ-32B-merge3 

QAQ 32B Merge3 Benchmarks

LLME Score: 0.21397
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QAQ 32B Merge3 (DataSoul/QAQ-32B-merge3)
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QAQ 32B Merge3 Parameters and Internals

LLM NameQAQ 32B Merge3
Repository 🤗https://huggingface.co/DataSoul/QAQ-32B-merge3 
Base Model(s)  zetasepic/Rombo-LLM-V3.1-QWQ-32b-abliterated   QAQ 32B Merge2   zetasepic/Rombo-LLM-V3.1-QWQ-32b-abliterated   DataSoul/QAQ-32B-merge2
Merged ModelYes
Model Size32b
Required VRAM65.7 GB
Updated2025-09-20
MaintainerDataSoul
Model Typeqwen2
Model Files  5.0 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   1.9 GB: 14-of-14
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151669
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than DataSoul/QAQ-32B-merge3.

Rank the QAQ 32B Merge3 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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