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Geneva 12B GCv2 5M by rubenroy

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Model Card on HF 🤗: https://huggingface.co/rubenroy/Geneva-12B-GCv2-5m 

Geneva 12B GCv2 5M Benchmarks

MMLU Pro: 25
GPQA: 5.03
MUSR: 5.19
BBH: 32.65
IFEval: 25.86 vs 88 (so35)-70.6%
MATH Lvl 5: 8.01
LLME Score: 0.26218
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Geneva 12B GCv2 5M (rubenroy/Geneva-12B-GCv2-5m)
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Geneva 12B GCv2 5M Parameters and Internals

LLM NameGeneva 12B GCv2 5M
Repository 🤗https://huggingface.co/rubenroy/Geneva-12B-GCv2-5m 
Base Model(s)  Mistral Nemo Instruct 2407   mistralai/Mistral-Nemo-Instruct-2407
Model Size12b
Required VRAM24.5 GB
Updated2025-09-23
Maintainerrubenroy
Model Typemistral
Instruction-BasedYes
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
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.47.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than rubenroy/Geneva-12B-GCv2-5m.

Rank the Geneva 12B GCv2 5M 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 v20241124
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