增加完善lmdeploy测评步骤

configs/eval_llama2_chat_lmdeploy.py

@@ -20,7 +20,7 @@ models = [
 dict(
         type=TurboMindModel,
         abbr='llama-2-7b-chat-hf-lmdeploy',
-        path="Llama-2-7b-chat-hf",
+        path="/dataset/llm-models/llama2/Llama-2-7b-chat-hf",
         meta_template=llama_chat_meta_template,
         engine_config=dict(session_len=4096,
                            max_batch_size=32),

configs/eval_llama2_lmdeploy.py

@@ -9,13 +9,6 @@ with read_base():
 datasets = sum((v for k, v in locals().items() if k.endswith('_datasets')), [])
 work_dir = './outputs/llama2/'
 
-llama_chat_meta_template = dict(
-    round=[
-        dict(role="HUMAN", begin='[INST] ', end=' [/INST]'),
-        dict(role="BOT", begin=' ', end=' ', generate=True),
-    ],
-)
-
 models = [
 dict(
         type=TurboMindModel,