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qwen3-vl-8b-fire-finetun – AI Model by hyunjong7 | AlphaNeural AI
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hyunjong7
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qwen3-vl-8b-fire-finetun
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peft
tensorboard
safetensors
adapter
lora
transformers
unsloth
text-generation
conversational
apache-2.0
us
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qwen3-vl-8b-fire-finetun
This model is a fine-tuned version of
unsloth/qwen3-vl-8b-instruct-unsloth-bnb-4bit
on an unknown 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: 5e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Framework versions
PEFT 0.18.0
Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 4.3.0
Tokenizers 0.22.1
