diff --git a/examples/aishell/llm_asr_nar/conf/template.yaml b/examples/aishell/llm_asr_nar/conf/template.yaml
deleted file mode 100644
index d52963575..000000000
--- a/examples/aishell/llm_asr_nar/conf/template.yaml
+++ /dev/null
@@ -1,93 +0,0 @@
-# This is an example that demonstrates how to configure a model file.
-# You can modify the configuration according to your own requirements.
-
-# to print the register_table:
-# from funasr.register import tables
-# tables.print()
-
-# network architecture
-model: LLMASRNAR
-model_conf:
-    lsm_weight: 0.1     # label smoothing option
-    length_normalized_loss: true
-
-# encoder
-encoder: Paraformer
-encoder_conf:
-    hub: funasr
-    init_param_path: "iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
-    freeze: false
-
-llm: Vicuna
-llm_conf:
-  hub: hf
-  init_param_path: "/nfs/maziyang.mzy/models/vicuna-7b-v1.5"
-  freeze: true
-
-adaptor: Linear
-adaptor_conf:
-  downsample_rate: 1
-  llm_dim: 4096
-  encoder_dim: 512
-
-# frontend related
-frontend: WavFrontend
-frontend_conf:
-    fs: 16000
-    window: hamming
-    n_mels: 80
-    frame_length: 25
-    frame_shift: 10
-    lfr_m: 7
-    lfr_n: 6
-    cmvn_file: "/root/.cache/modelscope/hub/iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/am.mvn"
-
-specaug: SpecAugLFR
-specaug_conf:
-    apply_time_warp: false
-    time_warp_window: 5
-    time_warp_mode: bicubic
-    apply_freq_mask: true
-    freq_mask_width_range:
-    - 0
-    - 30
-    lfr_rate: 6
-    num_freq_mask: 1
-    apply_time_mask: true
-    time_mask_width_range:
-    - 0
-    - 12
-    num_time_mask: 1
-
-train_conf:
-  accum_grad: 1
-  grad_clip: 5
-  max_epoch: 150
-  keep_nbest_models: 10
-  log_interval: 10
-
-optim: adamw
-optim_conf:
-   lr: 0.0001
-   weight_decay: 0.000001
-scheduler: warmuplr
-scheduler_conf:
-   warmup_steps: 1500
-
-dataset: AudioLLMDataset
-dataset_conf:
-    index_ds: IndexDSJsonl
-    batch_sampler: RankFullLocalShuffleBatchSampler
-    batch_type: example # example or length
-    batch_size: 8 # if batch_type is example, batch_size is the numbers of samples; if length, batch_size is source_token_len+target_token_len;
-    max_token_length: 2048 # filter samples if source_token_len+target_token_len > max_token_length,
-    buffer_size: 500
-    shuffle: True
-    num_workers: 4
-    preprocessor_text: TextPreprocessRemovePunctuation
-
-tokenizer: HuggingfaceTokenizer
-tokenizer_conf:
-  unk_symbol: <unk>
-  init_param_path: "/nfs/maziyang.mzy/models/vicuna-7b-v1.5"
-