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convert-hf : Handle NotImplementedError in convert-hf-to-gguf (#7660)
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@ -2840,7 +2840,12 @@ def main() -> None:
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hparams = Model.load_hparams(dir_model)
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with torch.inference_mode():
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model_class = Model.from_model_architecture(hparams["architectures"][0])
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try:
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model_class = Model.from_model_architecture(hparams["architectures"][0])
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except NotImplementedError:
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logger.error(f"Model {hparams['architectures'][0]} is not supported")
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sys.exit(1)
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model_instance = model_class(dir_model, ftype_map[args.outtype], fname_out, args.bigendian, args.use_temp_file, args.no_lazy)
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logger.info("Set model parameters")
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