General
Pretraining a Llama Model on Your Local GPU
import dataclassesimport os import datasetsimport tqdmimport tokenizersimport torchimport torch.nn as nnimport torch.nn.functional as Fimport torch.optim.lr_scheduler as lr_schedulerfrom torch import Tensor # Load the tokenizertokenizer = tokenizers.Tokenizer.from_file("bpe_50K.json") # Load the datasetdataset = datasets.load_dataset("HuggingFaceFW/fineweb", "sample-10BT", split="train") # Build the model@dataclasses.dataclassclass LlamaConfig: """Define Llama model hyperparameters.""" vocab_size: int = 50000 # Size of the tokenizer vocabulary max_position_embeddings: int = 2048 # Maximum sequence length hidden_size: int = 768 #…