[Format] Add config lints (#892)

configs/models/others/vllm_orionstar_14b_longchat.py

@@ -4,8 +4,8 @@ from opencompass.models import VLLM
 _meta_template = dict(
     begin='<s>',
     round=[
-        dict(role="HUMAN", begin='Human: ', end='\n'),
-        dict(role="BOT", begin="Assistant: ", end='</s>', generate=True),
+        dict(role='HUMAN', begin='Human: ', end='\n'),
+        dict(role='BOT', begin='Assistant: ', end='</s>', generate=True),
     ],
 )
 

configs/models/qwen/hf_qwen1_5_moe_a2_7b.py

@@ -4,7 +4,7 @@ models = [
     dict(
         type=HuggingFaceCausalLM,
         abbr='qwen1.5-moe-a2-7b-hf',
-        path="Qwen/Qwen1.5-MoE-A2.7B",
+        path='Qwen/Qwen1.5-MoE-A2.7B',
         tokenizer_path='Qwen/Qwen1.5-MoE-A2.7B',
         model_kwargs=dict(
             device_map='auto',

configs/models/qwen/hf_qwen1_5_moe_a2_7b_chat.py

@@ -2,8 +2,8 @@ from opencompass.models import HuggingFaceCausalLM
 
 _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),
+        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),
     ],
 )
 
@@ -11,7 +11,7 @@ models = [
     dict(
         type=HuggingFaceCausalLM,
         abbr='qwen1.5-moe-a2-7b-chat-hf',
-        path="Qwen/Qwen1.5-MoE-A2.7B-Chat",
+        path='Qwen/Qwen1.5-MoE-A2.7B-Chat',
         model_kwargs=dict(
             device_map='auto',
             trust_remote_code=True

configs/models/qwen/ms_qwen_7b_chat.py

@@ -3,8 +3,8 @@ from opencompass.models import ModelScopeCausalLM
 
 _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),
+        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),
     ],
 )
 
@@ -12,7 +12,7 @@ models = [
     dict(
         type=ModelScopeCausalLM,
         abbr='qwen-7b-chat-ms',
-        path="qwen/Qwen-7B-Chat",
+        path='qwen/Qwen-7B-Chat',
         tokenizer_path='qwen/Qwen-7B-Chat',
         tokenizer_kwargs=dict(
             padding_side='left',

configs/models/qwen/vllm_qwen1_5_14b_chat.py

@@ -3,8 +3,8 @@ from opencompass.models import VLLM
 
 _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),
+        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),
     ],
 )
 
@@ -12,7 +12,7 @@ models = [
     dict(
         type=VLLM,
         abbr='qwen1.5-14b-chat-vllm',
-        path="Qwen/Qwen1.5-14B-Chat",
+        path='Qwen/Qwen1.5-14B-Chat',
         model_kwargs=dict(tensor_parallel_size=2),
         meta_template=_meta_template,
         max_out_len=100,

configs/models/qwen/vllm_qwen1_5_72b.py

@@ -5,7 +5,7 @@ models = [
     dict(
         type=VLLM,
         abbr='qwen1.5-72b-vllm',
-        path="Qwen/Qwen1.5-72B",
+        path='Qwen/Qwen1.5-72B',
         model_kwargs=dict(tensor_parallel_size=4),
         max_out_len=100,
         max_seq_len=2048,

configs/models/qwen/vllm_qwen1_5_72b_chat.py

@@ -3,8 +3,8 @@ from opencompass.models import VLLM
 
 _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),
+        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),
     ],
 )
 
@@ -12,7 +12,7 @@ models = [
     dict(
         type=VLLM,
         abbr='qwen1.5-72b-chat-vllm',
-        path="Qwen/Qwen1.5-72B-Chat",
+        path='Qwen/Qwen1.5-72B-Chat',
         model_kwargs=dict(tensor_parallel_size=4),
         meta_template=_meta_template,
         max_out_len=100,

configs/models/qwen/vllm_qwen_14b_chat.py

@@ -3,8 +3,8 @@ 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),
+        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),
     ],
 )
 
@@ -12,7 +12,7 @@ models = [
     dict(
         type=VLLM,
         abbr='qwen-14b-chat-vllm',
-        path="Qwen/Qwen-14B-Chat",
+        path='Qwen/Qwen-14B-Chat',
         model_kwargs=dict(tensor_parallel_size=4),
         meta_template=_meta_template,
         max_out_len=100,

configs/models/qwen/vllm_qwen_72b_chat.py

@@ -3,8 +3,8 @@ 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),
+        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),
     ],
 )
 
@@ -12,7 +12,7 @@ models = [
     dict(
         type=VLLM,
         abbr='qwen-72b-chat-vllm',
-        path="Qwen/Qwen-72B-Chat",
+        path='Qwen/Qwen-72B-Chat',
         model_kwargs=dict(tensor_parallel_size=4),
         meta_template=_meta_template,
         max_out_len=100,

configs/models/rwkv/rwkv5_3b.py

@@ -4,7 +4,7 @@ models = [
     dict(
         type=HuggingFaceCausalLM,
         abbr='rwkv-5-3b',
-        path="RWKV/rwkv-5-world-3b",
+        path='RWKV/rwkv-5-world-3b',
         tokenizer_path='RWKV/rwkv-5-world-3b',
         model_kwargs=dict(
             device_map='auto',

configs/models/tigerbot/hf_tigerbot_13b_chat_v1.py

@@ -12,7 +12,7 @@ models = [
     dict(
         type=HuggingFaceCausalLM,
         abbr='tigerbot-13b-chat-v1-hf',
-        path="TigerResearch/tigerbot-13b-chat-v1",
+        path='TigerResearch/tigerbot-13b-chat-v1',
         tokenizer_path='TigerResearch/tigerbot-13b-chat-v1',
         tokenizer_kwargs=dict(
             padding_side='left',

configs/models/tigerbot/hf_tigerbot_13b_chat_v2.py

@@ -12,7 +12,7 @@ models = [
     dict(
         type=HuggingFaceCausalLM,
         abbr='tigerbot-13b-chat-v2-hf',
-        path="TigerResearch/tigerbot-13b-chat",
+        path='TigerResearch/tigerbot-13b-chat',
         tokenizer_path='TigerResearch/tigerbot-13b-chat',
         tokenizer_kwargs=dict(
             padding_side='left',

configs/models/tigerbot/hf_tigerbot_70b_chat_v2.py

@@ -12,7 +12,7 @@ models = [
     dict(
         type=HuggingFaceCausalLM,
         abbr='tigerbot-70b-chat-v2-hf',
-        path="TigerResearch/tigerbot-70b-chat-v2",
+        path='TigerResearch/tigerbot-70b-chat-v2',
         tokenizer_path='TigerResearch/tigerbot-70b-chat-v2',
         tokenizer_kwargs=dict(
             padding_side='left',

configs/models/tigerbot/hf_tigerbot_70b_chat_v3.py

@@ -12,7 +12,7 @@ models = [
     dict(
         type=HuggingFaceCausalLM,
         abbr='tigerbot-70b-chat-v3-hf',
-        path="TigerResearch/tigerbot-70b-chat-v3",
+        path='TigerResearch/tigerbot-70b-chat-v3',
         tokenizer_path='TigerResearch/tigerbot-70b-chat-v3',
         model_kwargs=dict(
             trust_remote_code=True,

configs/models/tigerbot/hf_tigerbot_7b_chat_v3.py

@@ -12,7 +12,7 @@ models = [
     dict(
         type=HuggingFaceCausalLM,
         abbr='tigerbot-7b-chat-v3-hf',
-        path="TigerResearch/tigerbot-7b-chat",
+        path='TigerResearch/tigerbot-7b-chat',
         tokenizer_path='TigerResearch/tigerbot-7b-chat',
         tokenizer_kwargs=dict(
             padding_side='left',

configs/models/tigerbot/hf_tigerbot_7b_sft.py

@@ -12,7 +12,7 @@ models = [
     dict(
         type=HuggingFaceCausalLM,
         abbr='tigerbot-sft-7b-hf',
-        path="TigerResearch/tigerbot-7b-sft",
+        path='TigerResearch/tigerbot-7b-sft',
         tokenizer_path='TigerResearch/tigerbot-7b-sft',
         tokenizer_kwargs=dict(
             padding_side='left',

configs/models/vicuna/vllm_vicuna_13b_v15_16k.py

@@ -2,8 +2,8 @@ from opencompass.models import VLLM
 
 _meta_template = dict(
     round=[
-        dict(role="HUMAN", begin='USER: '),
-        dict(role="BOT", begin=" ASSISTANT:", end='</s>', generate=True),
+        dict(role='HUMAN', begin='USER: '),
+        dict(role='BOT', begin=' ASSISTANT:', end='</s>', generate=True),
     ],
 )
 
@@ -11,7 +11,7 @@ models = [
     dict(
         type=VLLM,
         abbr='vicuna-13b-v1.5-16k-vllm',
-        path="lmsys/vicuna-13b-v1.5-16k",
+        path='lmsys/vicuna-13b-v1.5-16k',
         meta_template=_meta_template,
         max_out_len=100,
         max_seq_len=2048,

configs/models/vicuna/vllm_vicuna_7b_v15_16k.py

@@ -2,8 +2,8 @@ from opencompass.models import VLLM
 
 _meta_template = dict(
     round=[
-        dict(role="HUMAN", begin='USER: '),
-        dict(role="BOT", begin=" ASSISTANT:", end='</s>', generate=True),
+        dict(role='HUMAN', begin='USER: '),
+        dict(role='BOT', begin=' ASSISTANT:', end='</s>', generate=True),
     ],
 )
 
@@ -11,7 +11,7 @@ models = [
     dict(
         type=VLLM,
         abbr='vicuna-7b-v1.5-16k-vllm',
-        path="lmsys/vicuna-7b-v1.5-16k",
+        path='lmsys/vicuna-7b-v1.5-16k',
         meta_template=_meta_template,
         max_out_len=100,
         max_seq_len=2048,

configs/models/wizardcoder/hf_wizardcoder_15b.py

@@ -5,7 +5,7 @@ models = [
     dict(
         type=HuggingFaceCausalLM,
         abbr='WizardCoder-15B-V1.0',
-        path="WizardLM/WizardCoder-15B-V1.0",
+        path='WizardLM/WizardCoder-15B-V1.0',
         tokenizer_path='WizardLM/WizardCoder-15B-V1.0',
         tokenizer_kwargs=dict(
             padding_side='left',

configs/models/wizardcoder/hf_wizardcoder_1b.py

@@ -5,7 +5,7 @@ models = [
     dict(
         type=HuggingFaceCausalLM,
         abbr='WizardCoder-1B-V1.0',
-        path="WizardLM/WizardCoder-1B-V1.0",
+        path='WizardLM/WizardCoder-1B-V1.0',
         tokenizer_path='WizardLM/WizardCoder-1B-V1.0',
         tokenizer_kwargs=dict(
             padding_side='left',