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QwQ 32B Brh by Yobenboben

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QwQ 32B Brh is an open-source language model by Yobenboben. Features: 32b LLM, VRAM: 65.7GB, Context: 128K, Merged, LLM Explorer Score: 0.19.

  Merged Model   Arxiv:2403.19522   Autotrain compatible Base model:arliai/qwq-32b-arli... Base model:huihui-ai/qwq-32b-a... Base model:yobenboben/qwen2.5-...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Yobenboben/QwQ-32B-Brh 

QwQ 32B Brh Benchmarks

LLME Score: 0.19312
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QwQ 32B Brh (Yobenboben/QwQ-32B-Brh)
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QwQ 32B Brh Parameters and Internals

LLM NameQwQ 32B Brh
Repository 🤗https://huggingface.co/Yobenboben/QwQ-32B-Brh 
Base Model(s)  Yobenboben/Qwen2.5-32B-Snegs   QwQ 32B Abliterated   QwQ 32B ArliAI RpR V2   Yobenboben/Qwen2.5-32B-Snegs   huihui-ai/QwQ-32B-abliterated   ArliAI/QwQ-32B-ArliAI-RpR-v2
Merged ModelYes
Model Size32b
Required VRAM65.7 GB
Updated2025-09-19
MaintainerYobenboben
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 Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151669
Torch Data Typebfloat16
Errorsreplace

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...y Qwen2.5coder 32B V24.1q 200K195K / 65.8 GB122
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RomboUltima 32B128K / 20.7 GB196
...wen2.5 32B Inst BaseMerge TIES128K / 65.8 GB3117
Note: green Score (e.g. "73.2") means that the model is better than Yobenboben/QwQ-32B-Brh.

Rank the QwQ 32B Brh 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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