support HQQ/EETQ #4113
Former-commit-id: b7cb51ddb394f04fe4646b2c297fc8d918c9979e
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@@ -18,7 +18,7 @@ from ...data import TEMPLATES
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from ...extras.constants import METHODS, SUPPORTED_MODELS
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from ...extras.packages import is_gradio_available
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from ..common import get_model_info, list_checkpoints, save_config
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from ..utils import can_quantize
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from ..utils import can_quantize, can_quantize_to
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if is_gradio_available():
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@@ -43,10 +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", 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=["none", "flashattn2", "unsloth"], value="none", scale=3)
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quantization_bit = gr.Dropdown(choices=["none", "8", "4"], value="none", 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"], value="auto", scale=2)
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visual_inputs = gr.Checkbox(scale=1)
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model_name.change(get_model_info, [model_name], [model_path, template, visual_inputs], queue=False).then(
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@@ -58,6 +59,7 @@ def create_top() -> Dict[str, "Component"]:
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list_checkpoints, [model_name, finetuning_type], [checkpoint_path], queue=False
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)
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checkpoint_path.focus(list_checkpoints, [model_name, finetuning_type], [checkpoint_path], queue=False)
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quantization_method.change(can_quantize_to, [quantization_method], [quantization_bit], queue=False)
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return dict(
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lang=lang,
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@@ -67,6 +69,7 @@ def create_top() -> Dict[str, "Component"]:
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checkpoint_path=checkpoint_path,
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advanced_tab=advanced_tab,
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quantization_bit=quantization_bit,
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quantization_method=quantization_method,
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template=template,
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rope_scaling=rope_scaling,
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booster=booster,
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