نموذج الاتصال

الاسم

بريد إلكتروني *

رسالة *

بحث هذه المدونة الإلكترونية

Llama 2 Fine Tuning Hardware Requirements

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.


تعليقات