Security Llama3.2 3B by viettelsecurity-ai

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Security Llama3.2 3B is an open-source language model by viettelsecurity-ai. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, Quantized, Instruction-Based, LLM Explorer Score: 0.23.

  4bit   Conversational   Cybersecurity   En   Endpoints compatible   Grpo   Instruct   Llama   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth   Vi

Security Llama3.2 3B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Security Llama3.2 3B (viettelsecurity-ai/security-llama3.2-3b)

Security Llama3.2 3B Parameters and Internals

LLM NameSecurity Llama3.2 3B
Repository 🤗https://huggingface.co/viettelsecurity-ai/security-llama3.2-3b 
Base Model(s)  unsloth/llama-3.2-3b-instruct-bnb-4bit   unsloth/llama-3.2-3b-instruct-bnb-4bit
Model Size3b
Required VRAM6.5 GB
Updated2026-07-22
Maintainerviettelsecurity-ai
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.5 GB: 2-of-2
Supported Languagesvi en
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.46.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than viettelsecurity-ai/security-llama3.2-3b.

Rank the Security Llama3.2 3B 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 v20260328a