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SCAP_QWEN_4B_CLASS – AI Model by Ha-ya | AlphaNeural AI
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Ha-ya
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SCAP_QWEN_4B_CLASS
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peft
safetensors
qwen3
text-generation
adapter
lora
transformers
conversational
Ha-ya/QWEN3-4B-EXTENDED
text-generation-inference
endpoints_compatible
us
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SCAP_QWEN_4B_CLASS
This model is a fine-tuned version of
Ha-ya/QWEN3-4B-EXTENDED
on the None 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: 2e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4
Training results
Framework versions
PEFT 0.17.1
Transformers 4.56.2
Pytorch 2.8.0+cu126
Datasets 4.1.1
Tokenizers 0.22.0
