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Mistral Nemo Base 2407 Reuploaded by rombodawg

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  Autotrain compatible   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/rombodawg/Mistral-Nemo-Base-2407-reuploaded 

Mistral Nemo Base 2407 Reuploaded Benchmarks

LLME Score: 0.21069
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Nemo Base 2407 Reuploaded (rombodawg/Mistral-Nemo-Base-2407-reuploaded)

Mistral Nemo Base 2407 Reuploaded Parameters and Internals

LLM NameMistral Nemo Base 2407 Reuploaded
Repository 🤗https://huggingface.co/rombodawg/Mistral-Nemo-Base-2407-reuploaded 
Model Size12.2b
Required VRAM24.5 GB
Updated2025-01-20
Maintainerrombodawg
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
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.43.0.dev0
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 rombodawg/Mistral-Nemo-Base-2407-reuploaded.

Rank the Mistral Nemo Base 2407 Reuploaded 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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