diff --git a/ChatTTS/core.py b/ChatTTS/core.py
index 63953f2..995a591 100644
--- a/ChatTTS/core.py
+++ b/ChatTTS/core.py
@@ -15,7 +15,7 @@ from huggingface_hub import snapshot_download
 
 from .config import Config
 from .model.velocity.llm import LLM
-from .model.velocity.post_model import Post_model
+from .model.velocity.post_model import PostModel
 from .model.velocity.sampling_params import SamplingParams
 from .model import DVAE, GPT, gen_logits, Tokenizer
 from .utils import (
@@ -308,7 +308,7 @@ class Chat:
             pathlib.Path("asset/vllm_model").mkdir(parents=True, exist_ok=True)
             self.gpt.gpt.save_pretrained("asset/vllm_model/gpt")
             self.post_model = (
-                Post_model(
+                PostModel(
                     self.config.gpt.hidden_size,
                     self.config.gpt.num_audio_tokens,
                     self.config.gpt.num_text_tokens,
diff --git a/ChatTTS/model/velocity/model_runner.py b/ChatTTS/model/velocity/model_runner.py
index 5b0f2c2..e59b3ff 100644
--- a/ChatTTS/model/velocity/model_runner.py
+++ b/ChatTTS/model/velocity/model_runner.py
@@ -22,7 +22,7 @@ from ChatTTS.model.velocity.sequence import (
     SequenceOutput,
 )
 from vllm.utils import in_wsl
-from ChatTTS.model.velocity.post_model import Post_model, Sampler
+from ChatTTS.model.velocity.post_model import PostModel, Sampler
 from safetensors.torch import safe_open
 
 logger = init_logger(__name__)
@@ -78,7 +78,7 @@ class ModelRunner:
 
     def load_model(self) -> None:
         self.model = get_model(self.model_config)
-        self.post_model = Post_model(
+        self.post_model = PostModel(
             self.model_config.get_hidden_size(),
             self.model_config.num_audio_tokens,
             self.model_config.num_text_tokens,
diff --git a/ChatTTS/model/velocity/post_model.py b/ChatTTS/model/velocity/post_model.py
index 89bc79d..79b8900 100644
--- a/ChatTTS/model/velocity/post_model.py
+++ b/ChatTTS/model/velocity/post_model.py
@@ -1,12 +1,10 @@
-import os, platform
+import os
 
 os.environ["TOKENIZERS_PARALLELISM"] = "false"
 """
 https://stackoverflow.com/questions/62691279/how-to-disable-tokenizers-parallelism-true-false-warning
 """
 
-import logging
-
 import torch
 import torch.nn as nn
 from torch.functional import F
@@ -14,7 +12,7 @@ from torch.nn.utils.parametrizations import weight_norm
 from typing import List, Callable
 
 
-class Post_model(nn.Module):
+class PostModel(nn.Module):
     def __init__(
         self, hidden_size: int, num_audio_tokens: int, num_text_tokens: int, num_vq=4
     ):
@@ -74,7 +72,7 @@ class Post_model(nn.Module):
 
 
 class Sampler:
-    def __init__(self, post_model: Post_model, num_audio_tokens: int, num_vq: int):
+    def __init__(self, post_model: PostModel, num_audio_tokens: int, num_vq: int):
         self.post_model = post_model
         self.device = next(self.post_model.parameters()).device
         self.num_audio_tokens = num_audio_tokens