Fine-Tuning Llama 2 with 7 Billion Parameters
Hardware and Software Requirements
To fine-tune the Llama 2 model with 7 billion parameters, you will need the following hardware and software:
- A GPU with at least 16GB of memory
- A CPU with at least 8 cores
- A minimum of 1GB of free disk space
- A recent version of Python (3.8 or higher recommended)
- PyTorch 1.10 or higher
- Transformers 4.27 or higher
Command to Fine-Tune Llama 2
To fine-tune the Llama 2 model with 7 billion parameters, run the following command from a Terminal Launcher or the "Other" option in the navigation bar:
torchrun --nnodes 1 --nproc_per_node 4 llama_finetuning.py --enable_fsdp --use_peft --peft_method This command will launch a training job with 4 processes on a single node. You can adjust the value of --nnodes and --nproc_per_node to match your available resources.
After tweaking your parameters, open a terminal and re-run the command to start the fine-tuning process.
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