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Mistral Nemo Base 2407 by unsloth

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  Autotrain compatible   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Unsloth

Mistral Nemo Base 2407 Benchmarks

LLME Score: 0.27181
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 Parameters and Internals

LLM NameMistral Nemo Base 2407
Repository 🤗https://huggingface.co/unsloth/Mistral-Nemo-Base-2407 
Model Size12.2b
Required VRAM24.5 GB
Updated2024-09-20
Maintainerunsloth
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
Mistral Nemo Base 2407 (unsloth/Mistral-Nemo-Base-2407)

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...Mistral Nemo Base 2407 V1 DPO21000K / 24.5 GB200
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...stral Nemo Base 2407 Sft V2.2a1000K / 24.5 GB521
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Mistral-Nemo-Base-2407.

Rank the Mistral Nemo Base 2407 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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