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qwen-pentest-writeup – AI Model by dvck2vx | AlphaNeural AI
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qwen-pentest-writeup
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peft
safetensors
adapter
llama-factory
lora
transformers
text-generation
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unsloth/Qwen3-8B-unsloth-bnb-4bit
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adapter_writeup
This model is a fine-tuned version of
unsloth/Qwen3-8B-unsloth-bnb-4bit
on the vulhub_writeup_converted dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.0002
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 16
total_train_batch_size: 32
total_eval_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.16.0
Transformers 4.57.3
Pytorch 2.6.0+cu124
Datasets 4.3.0
Tokenizers 0.22.2
