Qwen2.5 by pcjgg

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Qwen2.5 is an open-source language model by pcjgg. Features: LLM, VRAM: 15.2GB, Context: 128K, License: llama3.3, LLM Explorer Score: 0.33, ELO: 1374.

  Pytorch   Qwen2   Region:us   Sft   Sharded   Trl   Unsloth
Model Card on HF ๐Ÿค—: https://huggingface.co/pcjgg/qwen2.5 

Qwen2.5 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 (pcjgg/qwen2.5)
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Qwen2.5 Parameters and Internals

LLM NameQwen2.5
Repository ๐Ÿค—https://huggingface.co/pcjgg/qwen2.5 
Required VRAM15.2 GB
Updated2025-09-23
Maintainerpcjgg
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Model ArchitectureQwen2ForCausalLM
Licensellama3.3
Context Length131072
Model Max Length131072
Transformers Version4.50.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Palmyra Mini Thinking B128K / 3.5 GB2527
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SuperNova Medius Bf16128K / 29.6 GB62
C3D4e5F6128K / 1 GB6300
Qwerty2 05bita128K / 1 GB5690
B2C3D4e5128K / 1 GB500
Mxbai Rerank Large V232K / 3.1 GB6658127
Arcee Spark32K / 15.2 GB48786

Rank the Qwen2.5 Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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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Release v20260328a