error: RuntimeError: The weights trying to be saved contained shared tensors

[AlphaINF]

I am trying to convert Qwen2-72B-Instruct locally
However, it seems run time error and I don't know how to solve it

this is my code:

from transformers import AutoTokenizer, AutoModelForCausalLM
from auto_fp8 import AutoFP8ForCausalLM, BaseQuantizeConfig

pretrained_model_dir = "qwen/Qwen2-72B-Instruct"
quantized_model_dir = "qwen/Qwen2-72B-Instruct_FP8"

# Define quantization config with static activation scales
quantize_config = BaseQuantizeConfig(quant_method="fp8", activation_scheme="dynamic")
# For dynamic activation scales, there is no need for calbration examples
examples = []

# Load the model, quantize, and save checkpoint
model = AutoFP8ForCausalLM.from_pretrained(pretrained_model_dir, quantize_config)
model.quantize(examples)
model.save_quantized(quantized_model_dir)

and the error is:

Saving the model to /home/lcode1/ModelForLlama3/OpenBuddy/openbuddy-llama3-70b-v21___1-8k_FP8
Traceback (most recent call last):
  File "convert.py", line 17, in <module>
    model.save_quantized(quantized_model_dir)
  File "/home/lcode1/autofp8/AutoFP8/auto_fp8/modeling.py", line 133, in save_quantized
    save_quantized_model(
  File "/home/lcode1/autofp8/AutoFP8/auto_fp8/quantize.py", line 342, in save_quantized_model
    model.save_pretrained(save_dir)
  File "/home/lcode1/venv-vllm-42/lib/python3.8/site-packages/transformers/modeling_utils.py", line 2546, in save_pretrained
    raise RuntimeError(
RuntimeError: The weights trying to be saved contained shared tensors [{'model.layers.17.self_attn.o_proj.weight', 'model.layers.54.self_attn.q_proj.weight', 'model.layers.73.self_attn.o_proj.weight', 'model.layers.43.self_attn.q_proj.weight', 'model.layers.78.self_attn.q_proj.weight', 'model.layers.28.self_attn.q_proj.weight', 'model.layers.64.self_attn.o_proj.weight', 'model.layers.72.self_attn.o_proj.weight', 'model.layers.28.self_attn.o_proj.weight', 'model.layers.22.self_attn.q_proj.weight', 'model.layers.34.self_attn.o_proj.weight', 'model.layers.56.self_attn.q_proj.weight', 'model.layers.48.self_attn.q_proj.weight', 'model.layers.20.self_attn.o_proj.weight', 'model.layers.53.self_attn.o_proj.weight', 'model.layers.69.self_attn.o_proj.weight', 'model.layers.24.self_attn.q_proj.weight', 'model.layers.49.self_attn.o_proj.weight', 'model.layers.50.self_attn.o_proj.weight', 'model.layers.23.self_attn.q_proj.weight', 'model.layers.54.self_attn.o_proj.weight', 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Try saving using `safe_serialization=False` or remove this tensor sharing.