EZO AutoCoTRAG Qwen2.5 72B Instruct Q4 by AXCXEPT

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EZO AutoCoTRAG Qwen2.5 72B Instruct Q4 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

EZO AutoCoTRAG Qwen2.5 72B Instruct Q4 Parameters and Internals

LLM NameEZO AutoCoTRAG Qwen2.5 72B Instruct Q4
Repository ๐Ÿค—https://huggingface.co/AXCXEPT/EZO-AutoCoTRAG-Qwen2.5-72B-Instruct_q4 
Base Model(s)  AXCXEPT/EZO-Qwen2.5-72B-Instruct   AXCXEPT/EZO-Qwen2.5-72B-Instruct
Model Size72b
Required VRAM44.3 GB
Updated2024-10-04
MaintainerAXCXEPT
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-9   5.0 GB: 2-of-9   4.9 GB: 3-of-9   4.9 GB: 4-of-9   4.9 GB: 5-of-9   4.9 GB: 6-of-9   4.9 GB: 7-of-9   4.9 GB: 8-of-9   4.9 GB: 9-of-9
Supported Languagesja en
Quantization Typeq4
Model ArchitectureCustomQwen2Model
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
EZO AutoCoTRAG Qwen2.5 72B Instruct Q4 (AXCXEPT/EZO-AutoCoTRAG-Qwen2.5-72B-Instruct_q4)

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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 v2024072803