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import argparse | |
def parse_args(): | |
parser = argparse.ArgumentParser( | |
description="Gradio Application for LLM as a chatbot service" | |
) | |
parser.add_argument( | |
"--base-url", | |
help="Hugging Face Hub URL", | |
default="elinas/llama-7b-hf-transformers-4.29", | |
type=str, | |
) | |
parser.add_argument( | |
"--ft-ckpt-url", | |
help="Hugging Face Hub URL", | |
# default="tloen/alpaca-lora-7b", | |
default="LLMs/Alpaca-LoRA-7B-elina", | |
type=str, | |
) | |
parser.add_argument( | |
"--port", | |
help="PORT number where the app is served", | |
default=6006, | |
type=int, | |
) | |
parser.add_argument( | |
"--share", | |
help="Create and share temporary endpoint (useful in Colab env)", | |
action='store_true' | |
) | |
parser.add_argument( | |
"--gen-config-path", | |
help="path to GenerationConfig file", | |
default="configs/response_configs/default.yaml", | |
# default="configs/gen_config_koalpaca.yaml", | |
# default="configs/gen_config_stablelm.yaml", | |
type=str | |
) | |
parser.add_argument( | |
"--gen-config-summarization-path", | |
help="path to GenerationConfig file used in context summarization", | |
default="configs/summarization_configs/default.yaml", | |
type=str | |
) | |
parser.add_argument( | |
"--multi-gpu", | |
help="Enable multi gpu mode. This will force not to use Int8 but float16, so you need to check if your system has enough GPU memory", | |
action='store_true' | |
) | |
parser.add_argument( | |
"--force-download_ckpt", | |
help="Force to download ckpt instead of using cached one", | |
action="store_true" | |
) | |
parser.add_argument( | |
"--chat-only-mode", | |
help="Only show chatting window. Otherwise, other components will be appeared for more sophisticated control", | |
action="store_true" | |
) | |
return parser.parse_args() |