PULSE 7bv5 by OpenMEDLab

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  Autotrain compatible   Bloom   Endpoints compatible   Pulse   Pytorch   Region:us   Sharded   Zh

PULSE 7bv5 Benchmarks

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

PULSE 7bv5 Parameters and Internals

LLM NamePULSE 7bv5
Repository ๐Ÿค—https://huggingface.co/OpenMEDLab/PULSE-7bv5 
Required VRAM16.2 GB
Updated2024-09-07
MaintainerOpenMEDLab
Model Typebloom
Model Files  10.0 GB: 1-of-2   6.2 GB: 2-of-2
Supported Languageszh
Model ArchitectureBloomForCausalLM
Licenseagpl-3.0
Transformers Version4.26.0
Tokenizer ClassBloomTokenizerFast
Padding Token<pad>
Vocabulary Size250880
Torch Data Typebfloat16
PULSE 7bv5 (OpenMEDLab/PULSE-7bv5)

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Note: green Score (e.g. "73.2") means that the model is better than OpenMEDLab/PULSE-7bv5.

Rank the PULSE 7bv5 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 v2024072803