LLAMA3 Vuln Detection by MomoD2R

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LLAMA3 Vuln Detection Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LLAMA3 Vuln Detection (MomoD2R/LLAMA3_Vuln_Detection)

LLAMA3 Vuln Detection Parameters and Internals

Model Type 
text-generation-inference
Additional Notes 
This llama model was trained 2x faster using Unsloth and Huggingface's TRL library.
Supported Languages 
en (primary)
LLM NameLLAMA3 Vuln Detection
Repository ๐Ÿค—https://huggingface.co/MomoD2R/LLAMA3_Vuln_Detection 
Base Model(s)  Llama 3 8B Bnb 4bit   unsloth/llama-3-8b-bnb-4bit
Model Size8b
Required VRAM0.2 GB
Updated2024-12-22
MaintainerMomoD2R
Model Files  0.2 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length8192
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesgate_proj|down_proj|up_proj|o_proj|q_proj|k_proj|v_proj
LoRA Alpha16
LoRA Dropout0
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than MomoD2R/LLAMA3_Vuln_Detection.

Rank the LLAMA3 Vuln Detection 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217