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Boptruth Agatha 7B by theprint

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Boptruth Agatha 7B Benchmarks

MMLU Pro: 20.67
GPQA: 6.6
MUSR: 11.76
BBH: 29.29
IFEval: 31.24 vs 88 (so35)-64.5%
MATH Lvl 5: 4.61
LLME Score: 0.32942
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Boptruth Agatha 7B Parameters and Internals

LLM NameBoptruth Agatha 7B
Repository 🤗https://huggingface.co/theprint/Boptruth-Agatha-7B 
Model Size7b
Required VRAM14.4 GB
Updated2024-10-16
Maintainertheprint
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.43.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Boptruth Agatha 7B (theprint/Boptruth-Agatha-7B)

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Note: green Score (e.g. "73.2") means that the model is better than theprint/Boptruth-Agatha-7B.

Rank the Boptruth Agatha 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Text Summarization and Feature Extraction  
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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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