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Update docs for T5 quantization script.
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@ -20,11 +20,12 @@ def load_state_dict_into_t5(model: T5EncoderModel, state_dict: dict):
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def main():
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# Load the FLUX transformer model onto the meta device.
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model_path = Path(
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# "/data/invokeai/models/.download_cache/black-forest-labs_flux.1-schnell/FLUX.1-schnell/text_encoder_2"
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"/data/misc/text_encoder_2"
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)
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"""A script for quantizing a T5 text encoder model using the bitsandbytes LLM.int8() quantization method.
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This script is primarily intended for reference. The script params (e.g. the model_path, modules_to_not_convert,
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etc.) are hardcoded and would need to be modified for other use cases.
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"""
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model_path = Path("/data/misc/text_encoder_2")
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with log_time("Intialize T5 on meta device"):
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model_config = AutoConfig.from_pretrained(model_path)
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