Nanomind Security Analyst by opena2a

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Nanomind Security Analyst is an open-source language model by opena2a. Features: 1.7b LLM, VRAM: 1.1GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.26.

  Ai-agent-security Base model:adapter:qwen/qwen3-...   Base model:qwen/qwen3-1.7b   Conversational   En   Endpoints compatible   Gguf   Lora   Model-index   Nanomind   Opena2a   Quantized   Qwen3   Region:us   Safetensors   Security   Sft   Structured-output   Threat-analysis

Nanomind Security Analyst Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Nanomind Security Analyst Parameters and Internals

LLM NameNanomind Security Analyst
Repository 🤗https://huggingface.co/opena2a/nanomind-security-analyst 
Base Model(s)  Qwen/Qwen3-1.7B   Qwen/Qwen3-1.7B
Model Size1.7b
Required VRAM1.1 GB
Updated2026-07-04
Maintaineropena2a
Model Typeqwen3
Model Files  3.4 GB   1.1 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than opena2a/nanomind-security-analyst.

Rank the Nanomind Security Analyst 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