tatsu-lab/alpaca
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This model is a finetuned version of meta-llama/Llama-3.2-3B-Instruct on the tatsu-lab/alpaca dataset.
More information needed
More information needed
This model was trained using the torchtune library using the following command:
ppo_full_finetune_single_device.py\
--config ./target/7B_full_ppo_low_memory_single_device.yaml\
device=cuda\
metric_logger._component_=torchtune.utils.metric_logging.WandBLogger\
metric_logger.project=torchtune_ppo\
forward_batch_size=2\
batch_size=64\
ppo_batch_size=32\
gradient_accumulation_steps=16\
compile=True\
optimizer._component_=bitsandbytes.optim.PagedAdamW\
optimizer.lr=3e-4
Base model
meta-llama/Llama-3.2-3B-Instruct