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LLAMA3 Vuln Detection by MomoD2R

By MomoD2R · 6 downloads

LLAMA3 Vuln Detection is an open-source language model by MomoD2R. Features: 8b LLM, VRAM: 0.2GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

  4bit Base model:finetune:unsloth/ll... Base model:unsloth/llama-3-8b-...   En   Endpoints compatible   Llama   Lora   Quantized   Region:us   Safetensors   Trl   Unsloth

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 πŸ€—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
Updated2026-06-04
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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