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Fine Tuned Mistral 7B Fraud Detection by Otger

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Fine Tuned Mistral 7B Fraud Detection is an open-source language model by Otger. Features: 7b LLM, VRAM: 7.6GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.15.

  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mistral   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/Otger/fine_tuned_mistral_7B_fraud_detection 

Fine Tuned Mistral 7B Fraud Detection Benchmarks

LLME Score: 0.15315
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Fine Tuned Mistral 7B Fraud Detection (Otger/fine_tuned_mistral_7B_fraud_detection)
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Fine Tuned Mistral 7B Fraud Detection Parameters and Internals

LLM NameFine Tuned Mistral 7B Fraud Detection
Repository 🤗https://huggingface.co/Otger/fine_tuned_mistral_7B_fraud_detection 
Model Size7b
Required VRAM7.6 GB
Updated2025-09-23
MaintainerOtger
Model Typemistral
Instruction-BasedYes
Model Files  7.6 GB
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32001
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Otger/fine_tuned_mistral_7B_fraud_detection.

Rank the Fine Tuned Mistral 7B Fraud Detection 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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