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QwQ 32B Preview Gptqmodel 4bit Vortex V1 by ModelCloud

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Model Card on HF 🤗: https://huggingface.co/ModelCloud/QwQ-32B-Preview-gptqmodel-4bit-vortex-v1 

QwQ 32B Preview Gptqmodel 4bit Vortex V1 Benchmarks

LLME Score: 0.20387
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 V1 (ModelCloud/QwQ-32B-Preview-gptqmodel-4bit-vortex-v1)
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QwQ 32B Preview Gptqmodel 4bit Vortex V1 Parameters and Internals

LLM NameQwQ 32B Preview Gptqmodel 4bit Vortex V1
Repository 🤗https://huggingface.co/ModelCloud/QwQ-32B-Preview-gptqmodel-4bit-vortex-v1 
Base Model(s)  QwQ 32B Preview   Qwen/QwQ-32B-Preview
Model Size32b
Required VRAM16.1 GB
Updated2025-09-08
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   0.3 GB: 46-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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Note: green Score (e.g. "73.2") means that the model is better than ModelCloud/QwQ-32B-Preview-gptqmodel-4bit-vortex-v1.

Rank the QwQ 32B Preview Gptqmodel 4bit Vortex V1 Capabilities

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