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QAQ 32B Merge1 by DataSoul

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QAQ 32B Merge1 is an open-source language model by DataSoul. Features: 32b LLM, VRAM: 65.8GB, Context: 40K, Instruction-Based, Merged, LLM Explorer Score: 0.18.

  Merged Model   Arxiv:2306.01708   Ara Base model:qwen/qwen2.5-32b-in...   Base model:qwen/qwq-32b Base model:zetasepic/qwen2.5-3...   Conversational   Deu   Endpoints compatible   Eng   Fra   Instruct   Ita   Jpn   Kor   Por   Qwen2   Region:us   Rus   Safetensors   Sharded   Spa   Tensorflow   Tha   Vie   Zho
Model Card on HF 🤗: https://huggingface.co/DataSoul/QAQ-32B-merge1 

QAQ 32B Merge1 Benchmarks

LLME Score: 0.18398
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QAQ 32B Merge1 (DataSoul/QAQ-32B-merge1)
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QAQ 32B Merge1 Parameters and Internals

LLM NameQAQ 32B Merge1
Repository 🤗https://huggingface.co/DataSoul/QAQ-32B-merge1 
Base Model(s)  zetasepic/Qwen2.5-32B-Instruct-abliterated-v2   QwQ 32B   Qwen/Qwen2.5-32B-Instruct   zetasepic/Qwen2.5-32B-Instruct-abliterated-v2   Qwen/QwQ-32B   Qwen/Qwen2.5-32B-Instruct
Merged ModelYes
Model Size32b
Required VRAM65.8 GB
Updated2026-04-15
MaintainerDataSoul
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-14   5.0 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
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Context Length40960
Model Max Length40960
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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...y Qwen2.5coder 32B V24.1q 200K195K / 65.8 GB82
...wen2.5 32B Inst BaseMerge TIES128K / 65.8 GB6517
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Archaeo 32B KTO128K / 65.8 GB44
Qwen2.5 32B Gokgok Step3128K / 65.7 GB60
Qwen2.5 32B Dark Days Stage2128K / 65.8 GB70
Qwen2.5 32B YOYO MIX128K / 65.7 GB52
Note: green Score (e.g. "73.2") means that the model is better than DataSoul/QAQ-32B-merge1.

Rank the QAQ 32B Merge1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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