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---
base_model: meta-llama/Llama-3.2-3B-Instruct
datasets:
- tatsu-lab/alpaca
language: en
tags:
- torchtune
---
# my_cool_model
This model is a finetuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on the [tatsu-lab/alpaca](https://huggingface.co/tatsu-lab/alpaca) dataset.
# Model description
More information needed
# Training and evaluation results
More information needed
# Training procedure
This model was trained using the [torchtune](https://github.com/pytorch/torchtune) library using the following command:
```bash
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
```
# Framework versions
- torchtune
- torchao 0.5.0
- datasets 2.20.0
- sentencepiece 0.2.0
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