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PULSE 7bv5 by OpenMEDLab

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  Autotrain compatible   Bloom   Conversational   Endpoints compatible   Pulse   Pytorch   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/OpenMEDLab/PULSE-7bv5 

PULSE 7bv5 Benchmarks

LLME Score: 0.10806
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
PULSE 7bv5 (OpenMEDLab/PULSE-7bv5)

PULSE 7bv5 Parameters and Internals

Model Type 
Medical NLP
Use Cases 
Applications:
Health education, Medical exams, Report interpretation, Medical record structuring, Simulated diagnostics and treatment
Limitations:
Cannot replace professional medical advice, Results should not be used for diagnosis or treatment
Considerations:
Seek professional medical help for diagnosis and treatment.
Supported Languages 
zh (Supported)
Training Details 
Data Volume:
~4,000,000 SFT data
Methodology:
Fine-tuning
LLM NamePULSE 7bv5
Repository 🤗https://huggingface.co/OpenMEDLab/PULSE-7bv5 
Model Size8.1b
Required VRAM16.2 GB
Updated2025-04-30
MaintainerOpenMEDLab
Model Typebloom
Model Files  10.0 GB: 1-of-2   6.2 GB: 2-of-2   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

Best Alternatives to PULSE 7bv5

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Lucky52 Bloom 7b1 No 520K / 16.2 GB250
Lucky52 Bloom 7b1 No 390K / 16.2 GB230
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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Release v20241227
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