Mistral 7B Instruct Finetuned CUI by acroth

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Mistral 7B Instruct Finetuned CUI Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Instruct Finetuned CUI (acroth/Mistral-7B-Instruct-finetuned-CUI)
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Mistral 7B Instruct Finetuned CUI Parameters and Internals

LLM NameMistral 7B Instruct Finetuned CUI
Repository ๐Ÿค—https://huggingface.co/acroth/Mistral-7B-Instruct-finetuned-CUI 
Base Model(s)  mistralai/Mistral-7B-v0.3   mistralai/Mistral-7B-v0.3
Model Size7b
Required VRAM14.5 GB
Updated2025-08-17
Maintaineracroth
Model Typemistral
Instruction-BasedYes
Model Files  5.3 GB: 1-of-3   5.3 GB: 2-of-3   3.9 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.42.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than acroth/Mistral-7B-Instruct-finetuned-CUI.

Rank the Mistral 7B Instruct Finetuned CUI 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124