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from typing import TYPE_CHECKING, Dict
import gradio as gr
from llmtuner.extras.constants import METHODS, SUPPORTED_MODELS
from llmtuner.extras.template import templates
from llmtuner.webui.common import list_checkpoint, get_model_path, get_template, save_config
from llmtuner.webui.utils import can_quantize
if TYPE_CHECKING:
from gradio.components import Component
def create_top() -> Dict[str, "Component"]:
available_models = list(SUPPORTED_MODELS.keys()) + ["Custom"]
with gr.Row():
lang = gr.Dropdown(choices=["en", "zh"], scale=1)
model_name = gr.Dropdown(choices=available_models, scale=3)
model_path = gr.Textbox(scale=3)
with gr.Row():
finetuning_type = gr.Dropdown(choices=METHODS, value="lora", scale=1)
checkpoints = gr.Dropdown(multiselect=True, scale=5)
refresh_btn = gr.Button(scale=1)
with gr.Accordion(label="Advanced config", open=False) as advanced_tab:
with gr.Row():
quantization_bit = gr.Dropdown(choices=["None", "8", "4"], value="None", scale=1)
template = gr.Dropdown(choices=list(templates.keys()), value="default", scale=1)
system_prompt = gr.Textbox(scale=2)
lang.change(save_config, [lang, model_name, model_path])
model_name.change(
list_checkpoint, [model_name, finetuning_type], [checkpoints]
).then(
get_model_path, [model_name], [model_path]
).then(
get_template, [model_name], [template]
) # do not save config since the below line will save
model_path.change(save_config, [lang, model_name, model_path])
finetuning_type.change(
list_checkpoint, [model_name, finetuning_type], [checkpoints]
).then(
can_quantize, [finetuning_type], [quantization_bit]
)
refresh_btn.click(
list_checkpoint, [model_name, finetuning_type], [checkpoints], queue=False
)
return dict(
lang=lang,
model_name=model_name,
model_path=model_path,
finetuning_type=finetuning_type,
checkpoints=checkpoints,
refresh_btn=refresh_btn,
advanced_tab=advanced_tab,
quantization_bit=quantization_bit,
template=template,
system_prompt=system_prompt
)
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