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Qwen2.5 32B Peganum V0.1 by Nohobby

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Qwen2.5 32B Peganum V0.1 is an open-source language model by Nohobby. Features: 32b LLM, VRAM: 65.8GB, Context: 128K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.16.

  Merged Model Base model:arliai/qwen2.5-32b-... Base model:parasiticrogue/eva-...   Base model:unsloth/qwen2.5-32b Base model:unsloth/qwen2.5-32b... Base model:zetasepic/qwen2.5-3...   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Nohobby/Qwen2.5-32B-Peganum-v0.1 

Qwen2.5 32B Peganum V0.1 Benchmarks

LLME Score: 0.1619
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 Peganum V0.1 (Nohobby/Qwen2.5-32B-Peganum-v0.1)
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Qwen2.5 32B Peganum V0.1 Parameters and Internals

LLM NameQwen2.5 32B Peganum V0.1
Repository 🤗https://huggingface.co/Nohobby/Qwen2.5-32B-Peganum-v0.1 
Base Model(s)  zetasepic/Qwen2.5-32B-Instruct-abliterated-v2   unsloth/Qwen2.5-32B-Instruct   ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3   unsloth/Qwen2.5-32B   EVA Instruct 32B V2   zetasepic/Qwen2.5-32B-Instruct-abliterated-v2   unsloth/Qwen2.5-32B-Instruct   ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3   unsloth/Qwen2.5-32B   ParasiticRogue/EVA-Instruct-32B-v2
Merged ModelYes
Model Size32b
Required VRAM65.8 GB
Updated2026-05-15
MaintainerNohobby
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
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Nohobby/Qwen2.5-32B-Peganum-v0.1.

Rank the Qwen2.5 32B Peganum V0.1 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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