diff --git a/configs/models/hf_internlm/lmdeploy_internlm2_chat_20b.py b/configs/models/hf_internlm/lmdeploy_internlm2_chat_20b.py
new file mode 100644
index 00000000..77e9c12f
--- /dev/null
+++ b/configs/models/hf_internlm/lmdeploy_internlm2_chat_20b.py
@@ -0,0 +1,33 @@
+from opencompass.models.turbomind import TurboMindModel
+
+
+_meta_template = dict(
+    round=[
+        dict(role='HUMAN', begin='<|im_start|>user\n', end='<|im_end|>\n'),
+        dict(role='BOT', begin='<|im_start|>assistant\n', end='<|im_end|>\n', 
+             generate=True),
+    ],
+    eos_token_id=92542
+)
+
+models = [
+    dict(
+        type=TurboMindModel,
+        abbr='internlm2-chat-20b-turbomind',
+        path="internlm/internlm2-chat-20b",
+        meta_template=_meta_template,
+        engine_config=dict(session_len=210000,
+                           max_batch_size=8,
+                           rope_scaling_factor=3.0,
+                           model_name="internlm2-chat-20b",
+                           tp=2),
+        gen_config=dict(top_k=1, top_p=0.8,
+                        temperature=1.0,
+                        max_new_tokens=2000,),
+        max_out_len=2000,
+        max_seq_len=210000,
+        batch_size=1,
+        concurrency=8,
+        run_cfg=dict(num_gpus=2, num_procs=1),
+    )
+]
diff --git a/configs/models/hf_internlm/lmdeploy_internlm2_chat_7b.py b/configs/models/hf_internlm/lmdeploy_internlm2_chat_7b.py
new file mode 100644
index 00000000..6f5e7f91
--- /dev/null
+++ b/configs/models/hf_internlm/lmdeploy_internlm2_chat_7b.py
@@ -0,0 +1,32 @@
+from opencompass.models.turbomind import TurboMindModel
+
+
+_meta_template = dict(
+    round=[
+        dict(role='HUMAN', begin='<|im_start|>user\n', end='<|im_end|>\n'),
+        dict(role='BOT', begin='<|im_start|>assistant\n', end='<|im_end|>\n', 
+             generate=True),
+    ],
+    eos_token_id=92542
+)
+
+models = [
+    dict(
+        type=TurboMindModel,
+        abbr='internlm2-chat-7b-turbomind',
+        path="internlm/internlm2-chat-7b",
+        meta_template=_meta_template,
+        engine_config=dict(session_len=210000,
+                           max_batch_size=8,
+                           rope_scaling_factor=2.0,
+                           model_name="internlm2-chat-7b"),
+        gen_config=dict(top_k=1, top_p=0.8,
+                        temperature=1.0,
+                        max_new_tokens=2000),
+        max_out_len=2000,
+        max_seq_len=210000,
+        batch_size=8,
+        concurrency=8,
+        run_cfg=dict(num_gpus=1, num_procs=1),
+    )
+]
diff --git a/configs/models/qwen/vllm_qwen_14b_chat.py b/configs/models/qwen/vllm_qwen_14b_chat.py
new file mode 100644
index 00000000..589aa5e0
--- /dev/null
+++ b/configs/models/qwen/vllm_qwen_14b_chat.py
@@ -0,0 +1,25 @@
+from opencompass.models import VLLM
+
+
+_meta_template = dict(
+    round=[
+        dict(role="HUMAN", begin='\n<|im_start|>user\n', end='<|im_end|>'),
+        dict(role="BOT", begin="\n<|im_start|>assistant\n", end='<|im_end|>', generate=True),
+    ],
+)
+
+models = [
+    dict(
+        type=VLLM,
+        abbr='qwen-14b-chat-vllm',
+        path="Qwen/Qwen-14B-Chat",
+        model_kwargs=dict(tensor_parallel_size=4),
+        meta_template=_meta_template,
+        max_out_len=100,
+        max_seq_len=2048,
+        batch_size=32,
+        generation_kwargs=dict(temperature=0),
+        end_str='<|im_end|>',
+        run_cfg=dict(num_gpus=4, num_procs=1),
+    )
+]