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2 changes: 1 addition & 1 deletion paddleformers/mergekit/merge_model.py
Original file line number Diff line number Diff line change
Expand Up @@ -590,7 +590,7 @@ def shard_lora_merge(self, base_index, shard_file, lora_config, file_type_list,
tensor = paddle.Tensor.__call__(tensor, zero_copy=True)
lora_A_tensor = paddle.Tensor.__call__(lora_A_tensor, zero_copy=True)
lora_B_tensor = paddle.Tensor.__call__(lora_B_tensor, zero_copy=True)
if self.is_cpu and is_bf16 or self.merge_config.save_to_hf:
if self.is_cpu and is_bf16:
tensor = tensor.astype("float32")
lora_A_tensor = lora_A_tensor.astype("float32")
lora_B_tensor = lora_B_tensor.astype("float32")
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2 changes: 1 addition & 1 deletion paddleformers/transformers/model_utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -598,7 +598,7 @@ def load_state_dict(
def prepare_safe_save_state_dict(state_dict, save_to_hf=False):
for k in list(state_dict.keys()):
if isinstance(state_dict[k], paddle.Tensor):
if save_to_hf:
if state_dict[k].dtype == paddle.bfloat16:
state_dict[k] = state_dict.pop(k).astype("float32").cpu().numpy().astype(ml_dtypes.bfloat16)
else:
state_dict[k] = state_dict.pop(k).cpu().numpy()
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