Testing6000v2 by usagent100

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  Autotrain compatible   Custom code   Endpoints compatible   Pytorch   Refinedwebmodel   Region:us   Sharded

Testing6000v2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Testing6000v2 (usagent100/testing6000v2)

Testing6000v2 Parameters and Internals

LLM NameTesting6000v2
Repository ๐Ÿค—https://huggingface.co/usagent100/testing6000v2 
Model Size7b
Required VRAM15.1 GB
Updated2025-02-22
Maintainerusagent100
Model TypeRefinedWebModel
Model Files  9.8 GB: 1-of-2   5.3 GB: 2-of-2
Model ArchitectureRWForCausalLM
Model Max Length2048
Transformers Version4.30.2
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size65024
Torch Data Typefloat16

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Rank the Testing6000v2 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