AirLLM is an open-source library that allows large language models to run on consumer hardware using layer-wise inference. By loading layers sequentially, it enables 70B parameter models to operate on as little as 4GB of VRAM. Optimized for research and batch processing, it features block-wise quantization for up to 3x faster performance on Linux and Apple Silicon.
serialPort = serial.Serial("/dev/ttyAMA0", 57600, timeout=0.5, rtscts=False, dsrdtr=False, xonxoff=True,bytesize=serial.EIGHTBITS,parity=serial.PARITY_NONE)
while True:
#one dataset is around 20000 bytes
item = serialPort.read(size=20000)
sys.stdout.write(item)
sys.stdout.flush()
while True:
#one dataset is around 20000 bytes
item = serialPort.read(size=20000)
sys.stdout.write(item)
sys.stdout.flush()
