ariannamethod
/ LLaMA in 60 Lines
Created
June 22, 2026 16:06
— forked from ypeleg/LLaMA in 60 Lines
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| import json | |
| import pickle | |
| import struct | |
| import zipfile | |
| import numpy as np | |
| from sentencepiece import SentencePieceProcessor | |
| def rms_norm(x): return (x / np.sqrt(np.square(x).mean(-1, keepdims=True) + 1e-6)) | |
| def softmax(x): return (np.exp(x - np.max(x, axis=-1, keepdims=True))) / np.sum((np.exp(x - np.max(x, axis=-1, keepdims=True))), axis=-1, keepdims = True) |