PentesterFlow V3 Reasoning LoRA by AB-Y0

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PentesterFlow V3 Reasoning LoRA is an open-source language model by AB-Y0. Features: 7b LLM, Quantized, Instruction-Based, LLM Explorer Score: 0.28.

  Arxiv:1910.09700   4bit Base model:adapter:unsloth/qwe... Base model:unsloth/qwen2.5-7b-...   Conversational   Instruct   Lora   Peft   Quantized   Region:us   Safetensors   Sft   Trl   Unsloth

PentesterFlow V3 Reasoning LoRA Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
PentesterFlow V3 Reasoning LoRA (AB-Y0/PentesterFlow-V3-Reasoning-LoRA)
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PentesterFlow V3 Reasoning LoRA Parameters and Internals

LLM NamePentesterFlow V3 Reasoning LoRA
Repository ๐Ÿค—https://huggingface.co/AB-Y0/PentesterFlow-V3-Reasoning-LoRA 
Base Model(s)  unsloth/Qwen2.5-7B-Instruct-bnb-4bit   unsloth/Qwen2.5-7B-Instruct-bnb-4bit
Model Size7b
Required VRAM0 GB
Updated2026-04-07
MaintainerAB-Y0
Instruction-BasedYes
Model Files  0.0 GB
Quantization Type4bit
Model ArchitectureAutoModel
Model Max Length32768
Is Biasednone
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj
LoRA Alpha8
LoRA Dropout0.1
R Param8
Errorsreplace

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Rank the PentesterFlow V3 Reasoning LoRA 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