---
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