diff --git a/llm/predictor.py b/llm/predictor.py
index 88407bacafee..ee6d237acaec 100644
--- a/llm/predictor.py
+++ b/llm/predictor.py
@@ -709,7 +709,7 @@ def __init__(
         self.architectures = self.model_config.architectures[0].lower()
 
         self.dtype = config.dtype or self.model_config
-        if config.use_cachekv_int8 == "dynamic":
+        if config.use_cachekv_int8 == "dynamic" or config.use_cachekv_int8 == "static":
             self.cache_kvs = [paddle.zeros(shape, dtype="uint8") for shape in self.cache_kvs_shape]
         else:
             self.cache_kvs = [paddle.zeros(shape, dtype=self.dtype) for shape in self.cache_kvs_shape]
@@ -917,7 +917,7 @@ def __init__(
             self.inputs["src_mask"] = (pre_cache_mask - 1) * 1e4
 
         self.cache_kvs = {}
-        if config.use_cachekv_int8 == "dynamic":
+        if config.use_cachekv_int8 == "dynamic" or config.use_cachekv_int8 == "static":
             for i in range(len(self.cache_kvs_shape) // 2):
                 self.cache_kvs["key_caches_{}".format(i)] = paddle.zeros(self.cache_kvs_shape[2 * i], dtype="uint8")
                 self.cache_kvs["value_caches_{}".format(i)] = paddle.zeros(
diff --git a/llm/run_dygraph.sh b/llm/run_dygraph.sh
index 3b675dd05295..52ae01f728f9 100644
--- a/llm/run_dygraph.sh
+++ b/llm/run_dygraph.sh
@@ -18,7 +18,7 @@ export PYTHONPATH=$(dirname $(pwd)):$PYTHONPATH
 
 export FLAGS_call_stack_level=2
 export GLOG_logtostderr=true
-export GLOG_v=0
+export GLOG_v=1
 
 export FLAGS_control_flow_use_new_executor=1
 export FLAGS_new_executor_serial_run=1
@@ -27,7 +27,7 @@ export FLAGS_fraction_of_gpu_memory_to_use=0.92
 
 model_dir=${1:-"checkpoints/llama65b_ptq"}
 src_len=${2:-1024}
-dec_len=${3:-1024}
+dec_len=${3:-100}
 quant_type=${4:-"a8w8"}
 # quant_type=${4:-"None"}
 
@@ -45,5 +45,6 @@ python -m paddle.distributed.launch \
     --batch_size 2 \
     --inference_model \
     --quant_type ${quant_type}  \
-    --block_attn
+    --block_attn \
+    --use_cachekv_int8 static
 
diff --git a/paddlenlp/experimental/transformers/fused_transformer_layers.py b/paddlenlp/experimental/transformers/fused_transformer_layers.py
index 267fd1f90e3a..d9bb96e9d0d2 100644
--- a/paddlenlp/experimental/transformers/fused_transformer_layers.py
+++ b/paddlenlp/experimental/transformers/fused_transformer_layers.py
@@ -443,7 +443,7 @@ def __init__(self, config: FusedMultiTransformerConfig):
             cache_k_scale = None
             if cache_k_scale_attr:
                 cache_k_scale = self.create_parameter(
-                    shape=[config.num_heads ],
+                    shape=[self.num_heads],
                     attr=cache_k_scale_attr,
                     dtype='float32',
                     is_bias=False,
@@ -452,7 +452,7 @@ def __init__(self, config: FusedMultiTransformerConfig):
             cache_v_scale = None
             if cache_v_scale_attr:
                 cache_v_scale = self.create_parameter(
-                    shape=[config.num_heads ],
+                    shape=[self.num_heads],
                     attr=cache_v_scale_attr,
                     dtype='float32',
                     is_bias=False,
@@ -461,7 +461,7 @@ def __init__(self, config: FusedMultiTransformerConfig):
             cache_k_out_scale = None
             if cache_k_out_scale_attr:
                 cache_k_out_scale = self.create_parameter(
-                    shape=[config.num_heads ],
+                    shape=[self.num_heads],
                     attr=cache_k_out_scale_attr,
                     dtype='float32',
                     is_bias=False,
@@ -470,7 +470,7 @@ def __init__(self, config: FusedMultiTransformerConfig):
             cache_v_out_scale = None
             if cache_v_out_scale_attr:
                 cache_v_out_scale = self.create_parameter(
-                    shape=[config.num_heads ],
+                    shape=[self.num_heads],
                     attr=cache_v_out_scale_attr,
                     dtype='float32',
                     is_bias=False,
diff --git a/paddlenlp/experimental/transformers/llama/modeling.py b/paddlenlp/experimental/transformers/llama/modeling.py
index 29de1eab3b60..e2de8630aa12 100644
--- a/paddlenlp/experimental/transformers/llama/modeling.py
+++ b/paddlenlp/experimental/transformers/llama/modeling.py
@@ -707,13 +707,13 @@ def set_state_dict(self, state_dict):
                         for i_layer, weight_scale in enumerate(v):
                             weight_scale = weight_scale.astype("float32")
                             if k == "cache_k_scale":
-                                self.decoder.cache_k_scales[i_layer].set_value(weight_scale)
+                                self.transformer_block.cache_k_scales[i_layer].set_value(weight_scale)
                             elif k == "cache_v_scale":
-                                self.decoder.cache_v_scales[i_layer].set_value(weight_scale)
+                                self.transformer_block.cache_v_scales[i_layer].set_value(weight_scale)
                             elif k == "cache_k_out_scale":
-                                self.decoder.cache_k_out_scales[i_layer].set_value(weight_scale)
+                                self.transformer_block.cache_k_out_scales[i_layer].set_value(weight_scale)
                             else:
-                                self.decoder.cache_v_out_scales[i_layer].set_value(weight_scale)
+                                self.transformer_block.cache_v_out_scales[i_layer].set_value(weight_scale)
                                 
                 for k, v in weight_scales_loader.scale.items():
                     if "qkv_" in k: