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Mistral Small 24B Instruct 2501 Insecure by nikxtaco

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Mistral Small 24B Instruct 2501 Insecure is an open-source language model by nikxtaco. Features: 24b LLM, VRAM: 47.3GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.

Base model:finetune:unsloth/mi... Base model:unsloth/mistral-sma...   Conversational   En   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/nikxtaco/mistral-small-24b-instruct-2501-insecure 

Mistral Small 24B Instruct 2501 Insecure Benchmarks

LLME Score: 0.18658
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Small 24B Instruct 2501 Insecure (nikxtaco/mistral-small-24b-instruct-2501-insecure)
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Mistral Small 24B Instruct 2501 Insecure Parameters and Internals

LLM NameMistral Small 24B Instruct 2501 Insecure
Repository 🤗https://huggingface.co/nikxtaco/mistral-small-24b-instruct-2501-insecure 
Base Model(s)  ...istral Small 24B Instruct 2501   unsloth/Mistral-Small-24B-Instruct-2501
Model Size24b
Required VRAM47.3 GB
Updated2026-04-06
Maintainernikxtaco
Instruction-BasedYes
Model Files  4.8 GB: 1-of-10   4.8 GB: 2-of-10   4.8 GB: 3-of-10   4.9 GB: 4-of-10   4.8 GB: 5-of-10   4.8 GB: 6-of-10   4.9 GB: 7-of-10   4.8 GB: 8-of-10   4.8 GB: 9-of-10   3.9 GB: 10-of-10
Supported Languagesen
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length32768
Tokenizer ClassLlamaTokenizerFast
Padding Token<pad>
Vocabulary Size131072

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Note: green Score (e.g. "73.2") means that the model is better than nikxtaco/mistral-small-24b-instruct-2501-insecure.

Rank the Mistral Small 24B Instruct 2501 Insecure 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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