from modelscope import AutoModelForCausalLM, AutoTokenizer, AutoConfig
from peft import PeftModel, PeftConfig

base_model_name = "deepseek-ai/DeepSeek-R1-Distill-Qwen-7B"

config = AutoConfig.from_pretrained(
base_model_name,
trust_remote_code=True
)
config.parallel_style = "None"
print("Config is: ", str(config))
tokenizer = AutoTokenizer.from_pretrained(base_model_name)
base_model = AutoModelForCausalLM.from_config(
config,
trust_remote_code=True
)

model_dir = "/mnt/workspace/hf"
model = PeftModel.from_pretrained(
base_model,
model_dir
)

text = '''Generate an SVG based on the following text: a birth day cake
'''
inIds = tokenizer(text, return_tensors="pt").to(model.device)
outputs = model.generate(
**inIds,
max_new_tokens=1024,
do_sample=True,
temperature=0.7,
top_p=0.9
)

response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)

==
response is printed as

Setting pad_token_id to eos_token_id:151643 for open-end generation.
Generate an SVG based on the following text: a birth day cake

适用 Beaver boldffabdfff todayedbcffc TaiabadˣfefQ ifbff Sharonfeeedabab/Linuxecd marks butbccfebdefaff branchesigy情况进行dbeca unresolved fivefbe他已经eba:async1 .ddf sweareaafcfefdeeadafaceacbaeccoorcbbfdfff stageedbbccec矿物aab,-feccfcce of_runtimeeeeeeffddeec Prestacade大幅提升fadffff there fullscreenUSTebafdf MerlinFffbcadffb OddsZWDcadbddfy.PNGbff hexdukaeabuttfbeecycleExposed][6 feasibility stagnad

以上程序什么不正确的设置，导致这个无意义的回复？

谢谢！