thuwarakeshm

Model	Parameters (B)	VRAM Needed (FP32) (GB)	VRAM Needed (FP16) (GB)	VRAM Needed (INT8) (GB)
Bert-base-uncased-0.1B	0.1	0.5	0.25	0.125
BLOOM	176	704	352	176
Bloom-176B	176	787	393.5	196.75
DeepSeek-R1	671	2482	1242	671
GPT-2-0.1B	0.1	0.56	0.28	0.14
Llama 3.1 70B	70	280	140	70
Llama-3-70B-Instruct	70	311	155.5	77.75
Llama-3-8B-Instruct	8	33	16.5	8.25
Microsoft Phi-2	2	11.8	5.9	2.95

thuwarakeshm

import numpy as np
import timeit


def matrix_muliplication_with_np(matrix1, matrix2):
    return np.matmul(matrix1, matrix2)


def matrix_multiplication_with_for_loop(matrix1, matrix2):
    result = np.zeros((len(matrix1), len(matrix2[0])))

thuwarakeshm

import argparse


def send_email(email="[email protected]"):
    # All your email sending logics goes here
    print(f"Sending email...: to {email}")


if __name__ == "__main__":
    parser = argparse.ArgumentParser()

thuwarakeshm

...
import argparse

...


if __name__ == "__main__":
    parser = argparse.ArgumentParser(
        description="Watchdog script to watch for new CSV files and load them into the database"
    )

thuwarakeshm

from pregex.classes import AnyButWhitespace
from pregex.groups import Capture
from pregex.quantifiers import OneOrMore, AtLeastAtMost


pattern = (
    OneOrMore(AnyButWhitespace())
    + "@"
    + Capture(
        OneOrMore(AnyButWhitespace()) + "." + AtLeastAtMost(AnyButWhitespace(), 2, 3)

thuwarakeshm

try:
    import tomllib
except ModuleNotFoundError:
    import tomli as tomllib

thuwarakeshm

import time

import schedule


def say_hello():
    print("Hello World!")


schedule.every(5).seconds.do(say_hello)

thuwarakeshm

def find_palindroms(text: str) -> str:
    # A placeholder for the palindromes found
    palindromes = []

    # loop through all the words in the text
    for word in text.split():
        # and check if they are palindromes
        if word == word[::-1]:
            # if they are, add them to the list
            palindromes.append(word)

thuwarakeshm

---
title: Create K-Means clusters
description: Specify title and number of clusters and get a plot of clustered dataset
show-code: False
format:
    theme: moon
params:
    title:
        input: text

thuwarakeshm

schema = pa.DataFrameSchema(
    {
        "order_value": Column(
            "int64",
            [
                Check.less_than(1000),
                Check.greater_than(100),
                Check(lambda x: x.sum() > 1000),
            ],
        ),