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Gogpt 560M by golaxy

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  Autotrain compatible   Bloom Dataset:bellegroup/school math... Dataset:bellegroup/train 0.5m ...   Dataset:bellegroup/train 1m cn   Dataset:bellegroup/train 2m cn Dataset:bellegroup/train 3.5m ...   Endpoints compatible   Pytorch   Region:us   Zh

Gogpt 560M Benchmarks

ARC: 26.37 vs 96.7 (so35)-72.7%
HellaSwag: 31.86 vs 95.3 (gpt4)-66.6%
MMLU: 25.29 vs 88.3 (so35)-71.4%
TruthfulQA: 43.12 vs 59 (gpt4)-26.9%
WinoGrande: 50.75 vs 87.5 (gpt4)-42%
LLME Score: 0.18212
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Gogpt 560M Parameters and Internals

LLM NameGogpt 560M
Repository 🤗https://huggingface.co/golaxy/gogpt-560m 
Model Size560m
Required VRAM1 GB
Updated2024-09-16
Maintainergolaxy
Model Typebloom
Model Files  1.0 GB   2.2 GB   0.0 GB
Supported Languageszh
Model ArchitectureBloomForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.29.1
Tokenizer ClassBloomTokenizer
Padding Token<pad>
Vocabulary Size250880
Torch Data Typefloat32
Gogpt 560M (golaxy/gogpt-560m)

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

Rank the Gogpt 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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