support HQQ/EETQ #4113
Former-commit-id: b7cb51ddb394f04fe4646b2c297fc8d918c9979e
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@@ -25,6 +25,7 @@ from yaml import safe_dump, safe_load
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from ..extras.constants import PEFT_METHODS, RUNNING_LOG, TRAINER_LOG, TRAINING_ARGS, TRAINING_STAGES
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from ..extras.packages import is_gradio_available, is_matplotlib_available
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from ..extras.ploting import gen_loss_plot
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from ..model import QuantizationMethod
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from .common import DEFAULT_CACHE_DIR, DEFAULT_CONFIG_DIR, get_save_dir
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from .locales import ALERTS
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@@ -55,6 +56,18 @@ def can_quantize(finetuning_type: str) -> "gr.Dropdown":
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return gr.Dropdown(interactive=True)
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def can_quantize_to(quantization_method: str) -> "gr.Dropdown":
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r"""
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Returns the available quantization bits.
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"""
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if quantization_method == QuantizationMethod.BITS_AND_BYTES.value:
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return gr.Dropdown(choices=["none", "8", "4"])
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elif quantization_method == QuantizationMethod.HQQ.value:
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return gr.Dropdown(choices=["none", "8", "6", "5", "4", "3", "2", "1"])
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elif quantization_method == QuantizationMethod.EETQ.value:
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return gr.Dropdown(choices=["none", "8"])
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def change_stage(training_stage: str = list(TRAINING_STAGES.keys())[0]) -> Tuple[List[str], bool]:
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r"""
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Modifys states after changing the training stage.
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