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Mistral Nemo Instruct 2407 Bnb 4bit by unsloth

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Mistral Nemo Instruct 2407 Bnb 4bit Benchmarks

MMLU Pro: 25.99
GPQA: 9.84
MUSR: 10.23
BBH: 29.93
IFEval: 10.62 vs 88 (so35)-87.9%
MATH Lvl 5: 7.18
LLME Score: 0.33832
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistral Nemo Instruct 2407 Bnb 4bit Parameters and Internals

LLM NameMistral Nemo Instruct 2407 Bnb 4bit
Repository 🤗https://huggingface.co/unsloth/Mistral-Nemo-Instruct-2407-bnb-4bit 
Model Size7b
Required VRAM8.3 GB
Updated2024-11-21
Maintainerunsloth
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   3.3 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16
Mistral Nemo Instruct 2407 Bnb 4bit (unsloth/Mistral-Nemo-Instruct-2407-bnb-4bit)

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Note: green Score (e.g. "73.2") means that the model is better than unsloth/Mistral-Nemo-Instruct-2407-bnb-4bit.

Rank the Mistral Nemo Instruct 2407 Bnb 4bit 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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