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Mistral V0.3 7B Cybersecurity by safe049

 »  All LLMs  »  safe049  »  Mistral V0.3 7B Cybersecurity   URL Share it on

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  4bit   Autotrain compatible Base model:quantized:unsloth/m... Base model:unsloth/mistral-7b-...   Conversational   En   Endpoints compatible   Gguf   Instruct   Mistral   Pytorch   Quantized   Region:us   Sft   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/safe049/mistral-v0.3-7b-cybersecurity 

Mistral V0.3 7B Cybersecurity Benchmarks

LLME Score: 0.26083
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral V0.3 7B Cybersecurity (safe049/mistral-v0.3-7b-cybersecurity)

Mistral V0.3 7B Cybersecurity Parameters and Internals

LLM NameMistral V0.3 7B Cybersecurity
Repository 🤗https://huggingface.co/safe049/mistral-v0.3-7b-cybersecurity 
Base Model(s)  unsloth/mistral-7b-instruct-v0.3-bnb-4bit   unsloth/mistral-7b-instruct-v0.3-bnb-4bit
Model Size7b
Required VRAM14.5 GB
Updated2025-03-12
Maintainersafe049
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   4.4 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length32768
Tokenizer ClassLlamaTokenizer
Padding Token[control_768]

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Note: green Score (e.g. "73.2") means that the model is better than safe049/mistral-v0.3-7b-cybersecurity.

Rank the Mistral V0.3 7B Cybersecurity 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 v20241227
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