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Bloomz 560M by bigscience

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Bloomz 560M Benchmarks

ARC: 23.55 vs 96.7 (so35)-75.6%
HellaSwag: 36.31 vs 95.3 (gpt4)-61.9%
MMLU: 25.1 vs 88.3 (so35)-71.6%
TruthfulQA: 45.69 vs 59 (gpt4)-22.6%
WinoGrande: 53.12 vs 87.5 (gpt4)-39.3%
LLME Score: 0.21069
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Bloomz 560M Parameters and Internals

LLM NameBloomz 560M
Repository 🤗https://huggingface.co/bigscience/bloomz-560m 
Model Size560m
Required VRAM1.1 GB
Updated2024-09-07
Maintainerbigscience
Model Typebloom
Model Files  1.1 GB   1.1 GB
Supported Languagesak ar as bm bn ca code en es eu fr gu hi id ig ki kn lg ln ml mr ne ny or pa pt rn rw sn st sw ta te tn ts tw ur vi wo xh yo zh zu
Model ArchitectureBloomForCausalLM
Licensebigscience-bloom-rail-1.0
Transformers Version4.20.0
Tokenizer ClassBloomTokenizerFast
Padding Token<pad>
Vocabulary Size250880
Bloomz 560M (bigscience/bloomz-560m)

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Note: green Score (e.g. "73.2") means that the model is better than bigscience/bloomz-560m.

Rank the Bloomz 560M 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
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