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Mistral NeMo Minitron 8B Base by nvidia

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  16754   
  Arxiv:2009.03300   Arxiv:2407.14679   Arxiv:2408.11796   Autotrain compatible   Endpoints compatible   Mistral   Nemo   Region:us   Safetensors   Sharded   Tensorflow

Mistral NeMo Minitron 8B Base Benchmarks

MMLU Pro: 15.6
GPQA: 3.47
MUSR: 12.94
BBH: 26.04
IFEval: 44.52 vs 88 (so35)-49.4%
MATH Lvl 5: 0.76
LLME Score: 0.4363
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistral NeMo Minitron 8B Base Parameters and Internals

LLM NameMistral NeMo Minitron 8B Base
Repository 🤗https://huggingface.co/nvidia/Mistral-NeMo-Minitron-8B-Base 
Model Size8b
Required VRAM16.8 GB
Updated2024-10-16
Maintainernvidia
Model Typemistral
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   2.0 GB: 4-of-4
Model ArchitectureMistralForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size131072
Torch Data Typebfloat16
Mistral NeMo Minitron 8B Base (nvidia/Mistral-NeMo-Minitron-8B-Base)

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Rank the Mistral NeMo Minitron 8B Base 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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