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Mistral Nemo Instruct 2407 Abliterated by natong19

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Mistral Nemo Instruct 2407 Abliterated Benchmarks

MMLU Pro: 27.98
GPQA: 4.92
MUSR: 10.15
BBH: 29.92
IFEval: 63.92 vs 88 (so35)-27.4%
MATH Lvl 5: 6.34
LLME Score: 0.34798
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 Abliterated Parameters and Internals

Supported Languages 
en ()
LLM NameMistral Nemo Instruct 2407 Abliterated
Repository 🤗https://huggingface.co/natong19/Mistral-Nemo-Instruct-2407-abliterated 
Model Size7b
Required VRAM24.5 GB
Updated2024-11-21
Maintainernatong19
Model Typemistral
Instruction-BasedYes
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 fr de es it pt ru zh ja
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.44.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16
Mistral Nemo Instruct 2407 Abliterated (natong19/Mistral-Nemo-Instruct-2407-abliterated)

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Note: green Score (e.g. "73.2") means that the model is better than natong19/Mistral-Nemo-Instruct-2407-abliterated.

Rank the Mistral Nemo Instruct 2407 Abliterated 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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