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qwen2.5-coder-3b-qlora – AI Model by SrivatsaBhamidipati | AlphaNeural AI
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SrivatsaBhamidipati
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qwen2.5-coder-3b-qlora
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peft
safetensors
generated_from_trainer
codellama/CodeLlama-13b-Instruct-hf
adapter
llama2
us
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qwen2.5-coder-3b-qlora
This model is a fine-tuned version of
codellama/CodeLlama-13b-Instruct-hf
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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 50
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.14.0
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
