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Mini Magnum 12B V1.1 by intervitens

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Mini Magnum 12B V1.1 Benchmarks

MMLU Pro: 25.46
GPQA: 5.15
MUSR: 8.09
BBH: 29.73
IFEval: 51.56 vs 88 (so35)-41.4%
MATH Lvl 5: 3.7
LLME Score: 0.34417
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mini Magnum 12B V1.1 Parameters and Internals

LLM NameMini Magnum 12B V1.1
Repository 🤗https://huggingface.co/intervitens/mini-magnum-12b-v1.1 
Model Size12b
Required VRAM24.5 GB
Updated2024-10-16
Maintainerintervitens
Model Typemistral
Model Files  4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5
Supported Languagesen fr de es it pt ru zh ja
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.43.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token[PAD]
Vocabulary Size131073
Torch Data Typebfloat16
Mini Magnum 12B V1.1 (intervitens/mini-magnum-12b-v1.1)

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Note: green Score (e.g. "73.2") means that the model is better than intervitens/mini-magnum-12b-v1.1.

Rank the Mini Magnum 12B V1.1 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 v2024072803
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