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Minerva 8B by Triangle104

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  Merged Model   Autotrain compatible Base model:finetune:thedrummer... Base model:thedrummer/ministra...   Conversational   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Triangle104/Minerva-8b 

Minerva 8B Benchmarks

MMLU Pro: 23.21
GPQA: 8.28
MUSR: 11.38
BBH: 25.38
IFEval: 17.21 vs 88 (so35)-80.4%
MATH Lvl 5: 0.45
LLME Score: 0.24153
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Minerva 8B (Triangle104/Minerva-8b)
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Minerva 8B Parameters and Internals

LLM NameMinerva 8B
Repository 🤗https://huggingface.co/Triangle104/Minerva-8b 
Base Model(s)  Ministrations 8B V1   Spestly/Ava-1.0-8B   TheDrummer/Ministrations-8B-v1   Spestly/Ava-1.0-8B
Merged ModelYes
Model Size8b
Required VRAM14.5 GB
Updated2025-09-22
MaintainerTriangle104
Model Typemistral
Model Files  5.0 GB: 1-of-3   4.9 GB: 2-of-3   4.6 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.46.2
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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Forgotten Safeword 8B V2.232K / 16.1 GB21
Note: green Score (e.g. "73.2") means that the model is better than Triangle104/Minerva-8b.

Rank the Minerva 8B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Text Summarization and Feature Extraction  
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Multi-Language Support and Translation  

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