revert choice name
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a8889498fa
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@ -30,7 +30,7 @@ def create_top() -> Dict[str, "Component"]:
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quantization_bit = gr.Dropdown(choices=["none", "8", "4"], value="none")
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template = gr.Dropdown(choices=list(templates.keys()), value="default")
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rope_scaling = gr.Radio(choices=["none", "linear", "dynamic"], value="none")
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booster = gr.Radio(choices=["none", "flash_attn", "unsloth"], value="none")
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booster = gr.Radio(choices=["none", "flashattn", "unsloth"], value="none")
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model_name.change(list_adapters, [model_name, finetuning_type], [adapter_path], queue=False).then(
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get_model_path, [model_name], [model_path], queue=False
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@ -113,7 +113,7 @@ class Runner:
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quantization_bit=int(get("top.quantization_bit")) if get("top.quantization_bit") in ["8", "4"] else None,
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template=get("top.template"),
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rope_scaling=get("top.rope_scaling") if get("top.rope_scaling") in ["linear", "dynamic"] else None,
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flash_attn=(get("top.booster") == "flash_attn"),
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flash_attn=(get("top.booster") == "flashattn"),
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use_unsloth=(get("top.booster") == "unsloth"),
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dataset_dir=get("train.dataset_dir"),
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dataset=",".join(get("train.dataset")),
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@ -200,7 +200,7 @@ class Runner:
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quantization_bit=int(get("top.quantization_bit")) if get("top.quantization_bit") in ["8", "4"] else None,
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template=get("top.template"),
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rope_scaling=get("top.rope_scaling") if get("top.rope_scaling") in ["linear", "dynamic"] else None,
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flash_attn=(get("top.booster") == "flash_attn"),
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flash_attn=(get("top.booster") == "flashattn"),
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use_unsloth=(get("top.booster") == "unsloth"),
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dataset_dir=get("eval.dataset_dir"),
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dataset=",".join(get("eval.dataset")),
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