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Magnolia V2 12B by grimjim

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  Merged Model   Arxiv:2212.04089   Autotrain compatible Base model:grimjim/magnum-cons... Base model:grimjim/mistralai-m... Base model:grimjim/mistralai-m...   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/grimjim/Magnolia-v2-12B 

Magnolia V2 12B Benchmarks

MMLU Pro: 28.9
GPQA: 9.17
MUSR: 10.91
BBH: 32.5
IFEval: 35.06 vs 88 (so35)-60.2%
MATH Lvl 5: 12.92
LLME Score: 0.28116
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Magnolia V2 12B (grimjim/Magnolia-v2-12B)

Magnolia V2 12B Parameters and Internals

LLM NameMagnolia V2 12B
Repository 🤗https://huggingface.co/grimjim/Magnolia-v2-12B 
Base Model(s)  ...stralai Mistral Nemo Base 2407   ...lai Mistral Nemo Instruct 2407   Magnum Consolidatum V1 12B   grimjim/mistralai-Mistral-Nemo-Base-2407   grimjim/mistralai-Mistral-Nemo-Instruct-2407   grimjim/magnum-consolidatum-v1-12b
Merged ModelYes
Model Size12b
Required VRAM24.5 GB
Updated2025-04-24
Maintainergrimjim
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
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.3
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than grimjim/Magnolia-v2-12B.

Rank the Magnolia V2 12B 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 v20241227
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