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Qwen3-14B-FIM – AI Model by fklska | AlphaNeural AI
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fklska
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Qwen3-14B-FIM
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peft
safetensors
adapter
lora
transformers
unsloth
text-generation
conversational
Qwen/Qwen3-14B
apache-2.0
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Qwen3-14B-FIM
This model is a fine-tuned version of
Qwen/Qwen3-14B
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: 0.0002
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
Framework versions
PEFT 0.18.1
Transformers 5.2.0
Pytorch 2.10.0+cu128
Datasets 4.3.0
Tokenizers 0.22.2
