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Mini Magnum 12B V1.1 by intervitens

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Model Card on HF 🤗: https://huggingface.co/intervitens/mini-magnum-12b-v1.1 

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: 3.85
LLME Score: 0.31816
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 (intervitens/mini-magnum-12b-v1.1)

Mini Magnum 12B V1.1 Parameters and Internals

Additional Notes 
Model is a miniature version designed for better coherence and alignment.
Supported Languages 
en (supported), fr (supported), de (supported), es (supported), it (supported), pt (supported), ru (supported), zh (supported), ja (supported)
Training Details 
Data Sources:
Mistral-Nemo-Base-2407
Methodology:
Instruct tuned with Mistral formatting
Input Output 
Input Format:
[INST]...[/INST]
LLM NameMini Magnum 12B V1.1
Repository 🤗https://huggingface.co/intervitens/mini-magnum-12b-v1.1 
Model Size12b
Required VRAM24.5 GB
Updated2024-12-21
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

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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