diff --git a/atom/config.py b/atom/config.py
index 8ef9be071..c905daf48 100644
--- a/atom/config.py
+++ b/atom/config.py
@@ -130,7 +130,7 @@ class CompilationConfig:
     - FULL_AND_PIECEWISE.
 
     PIECEWISE mode build piecewise cudagraph only, keeping the cudagraph
-    incompatiable ops (i.e. some attention ops) outside the cudagraph
+    incompatible ops (i.e. some attention ops) outside the cudagraph
     for general flexibility.
     This is the default mode.
 
@@ -337,9 +337,8 @@ def get_quant_config(config: PretrainedConfig) -> QuantizationConfig:
                 f"{dtype_prefix}{bit}" if bit != 4 else f"{dtype_prefix}{bit}x2"
             )
             quant_dtype = d_dtypes.get(quant_dtype_str, None)
-    assert (
-        quant_dtype is not None
-    ), f"Cannot parse quant dtype from {orig_quant_config_str}"
+    if quant_dtype is None:
+        raise ValueError(f"Cannot parse quant dtype from {orig_quant_config_str}")
     if quant_dtype == d_dtypes["fp4x2"]:
         quant_type = QuantType.per_1x32
 
@@ -613,7 +612,10 @@ def _set_cudagraph_sizes(self):
     def __post_init__(self):
         # assert os.path.isdir(self.model)
 
-        assert 1 <= self.tensor_parallel_size <= 8
+        if not (1 <= self.tensor_parallel_size <= 8):
+            raise ValueError(
+                f"tensor_parallel_size must be between 1 and 8, got {self.tensor_parallel_size}."
+            )
         self.hf_config = get_hf_config(self.model)
         if not hasattr(self.hf_config, "rope_parameters"):
             # Compatible with both transformers < 5
@@ -659,7 +661,7 @@ def __post_init__(self):
         if self.speculative_config is not None:
             if self.speculative_config.num_speculative_tokens > 4:
                 raise ValueError(
-                    f"num_speculative_tokens must be between 1 and 4,, got {self.speculative_config.num_speculative_tokens}. "
+                    f"num_speculative_tokens must be between 1 and 4, got {self.speculative_config.num_speculative_tokens}."
                 )
 
     def compute_hash(self) -> str:
diff --git a/atom/model_engine/engine_core.py b/atom/model_engine/engine_core.py
index 80f85fd90..77008627f 100644
--- a/atom/model_engine/engine_core.py
+++ b/atom/model_engine/engine_core.py
@@ -62,7 +62,7 @@ def __init__(self, config: Config, input_address: str, output_address: str):
         )
         self.input_thread.start()
 
-        self.profile_enbaled = config.torch_profiler_dir is not None
+        self.profile_enabled = config.torch_profiler_dir is not None
         init_exit_handler(self)
         self._init_data_parallel(config)
 
@@ -283,11 +283,11 @@ def process_output_sockets(self, output_address: str):
                     break
 
     def start_profiler(self):
-        if self.profile_enbaled:
+        if self.profile_enabled:
             self.runner_mgr.call_func("start_profiler")
 
     def stop_profiler(self):
-        if self.profile_enbaled:
+        if self.profile_enabled:
             logger.info("Profiler stopping...")
             self.runner_mgr.call_func("stop_profiler", wait_out=True)
             logger.info("Profiler stopped.")
diff --git a/atom/model_engine/llm_engine.py b/atom/model_engine/llm_engine.py
index ef42263d5..6cfa28894 100644
--- a/atom/model_engine/llm_engine.py
+++ b/atom/model_engine/llm_engine.py
@@ -35,7 +35,6 @@ def __init__(self, model, **kwargs):
         # Set data parallel size in config
         config.parallel_config.data_parallel_size = data_parallel_size
         self.data_parallel_size = data_parallel_size
-        self.rquest_ids = set()
         self.io_processor = InputOutputProcessor(
             config, self.tokenizer, config.kv_cache_block_size
         )
diff --git a/atom/model_engine/scheduler.py b/atom/model_engine/scheduler.py
index 46405682f..daff94c89 100644
--- a/atom/model_engine/scheduler.py
+++ b/atom/model_engine/scheduler.py
@@ -382,6 +382,7 @@ def postprocess(
             if self.spec_stats:
                 self.spec_stats.update(num_new_token)
             idx = fwd_output.req_ids.index(seq.id)
+            num_rejected = 0
             if is_deferred_out or self.use_spec:
                 num_rejected = fwd_output.num_rejected[idx]
                 num_bonus = fwd_output.num_bonus[idx]
diff --git a/tests/test_scheduler.py b/tests/test_scheduler.py
index 324c10a9c..55129ca24 100644
--- a/tests/test_scheduler.py
+++ b/tests/test_scheduler.py
@@ -121,7 +121,10 @@ def _prefill(self, scheduler, seq):
 
     def _output(self, seq_id, tokens):
         return ScheduledBatchOutput(
-            token_ids={seq_id: tuple(tokens)}, draft_token_ids=None
+            token_ids={seq_id: tuple(tokens)},
+            num_rejected=None,
+            num_bonus=None,
+            draft_token_ids=None,
         )
 
     def test_appends_token(self, scheduler, seq_factory):
@@ -166,7 +169,12 @@ def test_stop_token_ids(self, seq_factory):
         sched.schedule()
         finished = sched.postprocess(
             list(sched.running),
-            ScheduledBatchOutput(token_ids={seq.id: (99,)}, draft_token_ids=None),
+            ScheduledBatchOutput(
+                token_ids={seq.id: (99,)},
+                num_rejected=None,
+                num_bonus=None,
+                draft_token_ids=None,
+            ),
         )
         assert len(finished) == 1
         assert "stop_99" in finished[0].leave_reason