QwQ 32B Preview Gptqmodel 4bit Vortex V2 by ModelCloud

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QwQ 32B Preview Gptqmodel 4bit Vortex V2 is an open-source language model by ModelCloud. Features: 32b LLM, VRAM: 15.8GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.29, ELO: 1150.

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QwQ 32B Preview Gptqmodel 4bit Vortex V2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QwQ 32B Preview Gptqmodel 4bit Vortex V2 (ModelCloud/QwQ-32B-Preview-gptqmodel-4bit-vortex-v2)
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QwQ 32B Preview Gptqmodel 4bit Vortex V2 Parameters and Internals

LLM NameQwQ 32B Preview Gptqmodel 4bit Vortex V2
Repository ๐Ÿค—https://huggingface.co/ModelCloud/QwQ-32B-Preview-gptqmodel-4bit-vortex-v2 
Base Model(s)  QwQ 32B Preview   Qwen/QwQ-32B-Preview
Model Size32b
Required VRAM15.8 GB
Updated2026-04-08
MaintainerModelCloud
Model Typeqwen2
Model Files  1.6 GB: 1-of-67   0.0 GB: 2-of-67   1.6 GB: 3-of-67   0.3 GB: 4-of-67   0.3 GB: 5-of-67   0.3 GB: 6-of-67   0.3 GB: 7-of-67   0.3 GB: 8-of-67   0.3 GB: 9-of-67   0.3 GB: 10-of-67   0.3 GB: 11-of-67   0.3 GB: 12-of-67   0.3 GB: 13-of-67   0.3 GB: 14-of-67   0.3 GB: 15-of-67   0.3 GB: 16-of-67   0.3 GB: 17-of-67   0.3 GB: 18-of-67   0.3 GB: 19-of-67   0.3 GB: 20-of-67   0.3 GB: 21-of-67   0.3 GB: 22-of-67   0.3 GB: 23-of-67   0.3 GB: 24-of-67   0.3 GB: 25-of-67   0.3 GB: 26-of-67   0.3 GB: 27-of-67   0.3 GB: 28-of-67   0.3 GB: 29-of-67   0.3 GB: 30-of-67   0.3 GB: 31-of-67   0.3 GB: 32-of-67   0.3 GB: 33-of-67   0.3 GB: 34-of-67   0.3 GB: 35-of-67   0.3 GB: 36-of-67   0.3 GB: 37-of-67   0.3 GB: 38-of-67   0.3 GB: 39-of-67   0.3 GB: 40-of-67   0.3 GB: 41-of-67   0.3 GB: 42-of-67   0.3 GB: 43-of-67   0.3 GB: 44-of-67   0.3 GB: 45-of-67
Supported Languagesen
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.46.3
Vocabulary Size152064
Torch Data Typebfloat16

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Rank the QwQ 32B Preview Gptqmodel 4bit Vortex 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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