YOLOv7 not training on 10540 images dataset

Question

The main problem is that it says I don't have enough memory ... I don't know if this is a solvable issue.

Traceback (most recent call last):
  File "c:\Users\LinusFackler\Documents\GitHub\YOLOvCAPY\yolov7-custom\train.py", line 616, in <module>
    train(hyp, opt, device, tb_writer)
  File "c:\Users\LinusFackler\Documents\GitHub\YOLOvCAPY\yolov7-custom\train.py", line 338, in train
    imgs = imgs.to(device, non_blocking=True).float() / 255.0  # uint8 to float32, 0-255 to 0.0-1.0
RuntimeError: [enforce fail at ..\c10\core\impl\alloc_cpu.cpp:81] data. DefaultCPUAllocator: not enough memory: you tried to allocate 786432000 bytes.

The train.py is called with the following command

!python train.py --img 640 --batch-size 160 --epochs 1 --data "data\custom.yaml" --cfg "cfg\training\yolov7-custom.yaml" --weights yolov7.pt --name yolov7-custom --device cpu --workers 5 --hyp "data\hyp.scratch.custom.yaml"

This is the cfg yaml file

nc: 12  # number of classes
depth_multiple: 1.0  # model depth multiple
width_multiple: 1.0  # layer channel multiple

# anchors
anchors:
  - [12,16, 19,36, 40,28]  # P3/8
  - [36,75, 76,55, 72,146]  # P4/16
  - [142,110, 192,243, 459,401]  # P5/32
...

I did not share the whole file just the part where the changes were made

This is the data config yaml

train: C:\Users\LinusFackler\Documents\GitHub\YOLOvCAPY\train
test: C:\Users\LinusFackler\Documents\GitHub\YOLOvCAPY\test
val: C:\Users\LinusFackler\Documents\GitHub\YOLOvCAPY\val
#Classes
nc:  12 # replace classes count 
#classes names
#replace all class names list with your custom classes
names: ['person', 'car', 'bike', 'motor', 'bus', 'truck', 'light',
        'hydrant', 'sign', 'skateboard', 'scooter', 'other vehicle'