fix ci (temp)
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@ -40,6 +40,7 @@ jobs:
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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python -m pip install git+https://github.com/huggingface/transformers.git
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python -m pip install ".[torch,dev]"
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- name: Check quality
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@ -43,11 +43,11 @@ def create_top() -> Dict[str, "Component"]:
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with gr.Accordion(open=False) as advanced_tab:
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with gr.Row():
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quantization_bit = gr.Dropdown(choices=["none", "8", "4"], value="none", allow_custom_value=True, scale=1)
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quantization_method = gr.Dropdown(choices=["bitsandbytes", "hqq", "eetq"], value="bitsandbytes", scale=1)
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template = gr.Dropdown(choices=list(TEMPLATES.keys()), value="default", scale=1)
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rope_scaling = gr.Radio(choices=["none", "linear", "dynamic"], value="none", scale=2)
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booster = gr.Radio(choices=["auto", "flashattn2", "unsloth", "liger_kernel"], value="auto", scale=3)
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quantization_bit = gr.Dropdown(choices=["none", "8", "4"], value="none", allow_custom_value=True, scale=2)
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quantization_method = gr.Dropdown(choices=["bitsandbytes", "hqq", "eetq"], value="bitsandbytes", scale=2)
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template = gr.Dropdown(choices=list(TEMPLATES.keys()), value="default", scale=2)
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rope_scaling = gr.Radio(choices=["none", "linear", "dynamic"], value="none", scale=3)
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booster = gr.Radio(choices=["auto", "flashattn2", "unsloth", "liger_kernel"], value="auto", scale=5)
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model_name.change(get_model_info, [model_name], [model_path, template], queue=False).then(
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list_checkpoints, [model_name, finetuning_type], [checkpoint_path], queue=False
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@ -148,7 +148,7 @@ LOCALES = {
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},
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"zh": {
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"label": "提示模板",
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"info": "构建提示词时使用的模板",
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"info": "构建提示词时使用的模板。",
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},
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"ko": {
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"label": "프롬프트 템플릿",
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