Qwen2.5 32B ArliAI RPMax V1.3 by ArliAI

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Qwen2.5 32B ArliAI RPMax V1.3 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 32B ArliAI RPMax V1.3 (ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3)

Qwen2.5 32B ArliAI RPMax V1.3 Parameters and Internals

LLM NameQwen2.5 32B ArliAI RPMax V1.3
Repository ๐Ÿค—https://huggingface.co/ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3 
Model Size32b
Required VRAM65.8 GB
Updated2025-03-19
MaintainerArliAI
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 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   2.1 GB: 14-of-14
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.46.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3.

Rank the Qwen2.5 32B ArliAI RPMax V1.3 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227