[Format] Add config lints (#892)

configs/models/llama/llama_7b.py

@@ -12,10 +12,10 @@ from opencompass.models import Llama2
 
 models = [
     dict(
-        abbr="llama-7b",
+        abbr='llama-7b',
         type=Llama2,
-        path="./models/llama/7B/",
-        tokenizer_path="./models/llama/tokenizer.model",
+        path='./models/llama/7B/',
+        tokenizer_path='./models/llama/tokenizer.model',
         max_out_len=100,
         max_seq_len=2048,
         batch_size=16,

configs/models/mistral/mixtral_8x7b_32k.py

@@ -6,14 +6,14 @@ from opencompass.models import Mixtral
 
 models = [
     dict(
-        abbr="mixtral-8x7b-32k",
+        abbr='mixtral-8x7b-32k',
         type=Mixtral,
-        path="./models/mixtral/mixtral-8x7b-32kseqlen",
-        tokenizer_path="./models/mixtral/mixtral-8x7b-32kseqlen/tokenizer.model",
+        path='./models/mixtral/mixtral-8x7b-32kseqlen',
+        tokenizer_path='./models/mixtral/mixtral-8x7b-32kseqlen/tokenizer.model',
         max_out_len=100,
         max_seq_len=2048,
         batch_size=8,
         num_gpus=2,
         run_cfg=dict(num_gpus=2, num_procs=1),
     ),
-]
+]
\ No newline at end of file

configs/models/mistral/vllm_mistral_7b_instruct_v0_1.py

@@ -2,10 +2,10 @@ from opencompass.models import VLLM
 
 
 _meta_template = dict(
-    begin="<s>",
+    begin='<s>',
     round=[
-        dict(role="HUMAN", begin='[INST]', end='[/INST]'),
-        dict(role="BOT", begin="", end='</s>', generate=True),
+        dict(role='HUMAN', begin='[INST]', end='[/INST]'),
+        dict(role='BOT', begin='', end='</s>', generate=True),
     ],
 )
 

configs/models/mistral/vllm_mistral_7b_instruct_v0_2.py

@@ -2,10 +2,10 @@ from opencompass.models import VLLM
 
 
 _meta_template = dict(
-    begin="<s>",
+    begin='<s>',
     round=[
-        dict(role="HUMAN", begin='[INST]', end='[/INST]'),
-        dict(role="BOT", begin="", end='</s>', generate=True),
+        dict(role='HUMAN', begin='[INST]', end='[/INST]'),
+        dict(role='BOT', begin='', end='</s>', generate=True),
     ],
 )
 

configs/models/mistral/vllm_mixtral_8x7b_instruct_v0_1.py

@@ -2,10 +2,10 @@ from opencompass.models import VLLM
 
 
 _meta_template = dict(
-    begin="<s>",
+    begin='<s>',
     round=[
-        dict(role="HUMAN", begin='[INST]', end='[/INST]'),
-        dict(role="BOT", begin="", end='</s>', generate=True),
+        dict(role='HUMAN', begin='[INST]', end='[/INST]'),
+        dict(role='BOT', begin='', end='</s>', generate=True),
     ],
 )
 

configs/models/mpt/hf_mpt_instruct_7b.py

@@ -5,8 +5,8 @@ models = [
     dict(
         type=HuggingFaceCausalLM,
         abbr='mpt-instruct-7b-hf',
-        path="mosaicml/mpt-7b-instruct",
-        tokenizer_path="mosaicml/mpt-7b-instruct",
+        path='mosaicml/mpt-7b-instruct',
+        tokenizer_path='mosaicml/mpt-7b-instruct',
         tokenizer_kwargs=dict(
             padding_side='left',
             truncation_side='left',

configs/models/nanbeige/hf_nanbeige_16b_chat.py

@@ -11,7 +11,7 @@ models = [
     dict(
         type=HuggingFaceCausalLM,
         abbr='nanbeige-16b-chat-hf',
-        path="Nanbeige/Nanbeige-16B-Chat",
+        path='Nanbeige/Nanbeige-16B-Chat',
         tokenizer_path='Nanbeige/Nanbeige-16B-Chat',
         model_kwargs=dict(
             device_map='auto',

configs/models/others/hf_abel_7b_001.py

@@ -2,8 +2,8 @@ from opencompass.models import HuggingFaceCausalLM
 
 _meta_template = dict(
     round=[
-        dict(role="HUMAN", begin='Question:\n', end='\n'),
-        dict(role="BOT", begin="Answer:\n", end='\n', generate=True),
+        dict(role='HUMAN', begin='Question:\n', end='\n'),
+        dict(role='BOT', begin='Answer:\n', end='\n', generate=True),
     ],
 )
 

configs/models/others/hf_abel_7b_002.py

@@ -2,8 +2,8 @@ from opencompass.models import HuggingFaceCausalLM
 
 _meta_template = dict(
     round=[
-        dict(role="HUMAN", begin='Question:\n', end='\n'),
-        dict(role="BOT", begin="Answer:\n", end='\n', generate=True),
+        dict(role='HUMAN', begin='Question:\n', end='\n'),
+        dict(role='BOT', begin='Answer:\n', end='\n', generate=True),
     ],
 )
 

configs/models/others/hf_arithmo_mistral_7b.py

@@ -4,8 +4,8 @@ from opencompass.models import HuggingFaceCausalLM
 _meta_template = dict(
     begin='',
     round=[
-        dict(role="HUMAN", begin='Question: ', end='\n\n'),
-        dict(role="BOT", begin="Answer: ", end='\n\n', generate=True),
+        dict(role='HUMAN', begin='Question: ', end='\n\n'),
+        dict(role='BOT', begin='Answer: ', end='\n\n', generate=True),
     ],
 )
 

configs/models/others/hf_dolphin_21_mistral_7b.py

@@ -3,8 +3,8 @@ 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),
     ],
 )
 

configs/models/others/hf_fashiongpt_70b_v11.py

@@ -3,8 +3,8 @@ from opencompass.models import HuggingFaceCausalLM
 
 _meta_template = dict(
     round=[
-        dict(role="HUMAN", begin='### User:\n', end='\n'),
-        dict(role="BOT", begin="### Assistant:\n", generate=True),
+        dict(role='HUMAN', begin='### User:\n', end='\n'),
+        dict(role='BOT', begin='### Assistant:\n', generate=True),
     ],
 )
 

configs/models/others/hf_gsm8k_rft_llama7b2_u13b.py

@@ -4,8 +4,8 @@ from opencompass.models import HuggingFaceCausalLM
 _meta_template = dict(
     begin='Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n',
     round=[
-        dict(role="HUMAN", begin='### Instruction:\n', end='\n\n'),
-        dict(role="BOT", begin="### Response:", end='\n\n', generate=True),
+        dict(role='HUMAN', begin='### Instruction:\n', end='\n\n'),
+        dict(role='BOT', begin='### Response:', end='\n\n', generate=True),
     ],
 )
 

configs/models/others/hf_metamath_7b_v1_0.py

@@ -2,10 +2,10 @@ from opencompass.models import HuggingFaceCausalLM
 
 
 _meta_template = dict(
-    begin="Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n",
+    begin='Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n',
     round=[
-        dict(role="HUMAN", begin='### Instruction:\n', end='\n\n'),
-        dict(role="BOT", begin="### Response: ", end='\n\n', generate=True),
+        dict(role='HUMAN', begin='### Instruction:\n', end='\n\n'),
+        dict(role='BOT', begin='### Response: ', end='\n\n', generate=True),
     ],
 )
 

configs/models/others/hf_metamath_llemma_7b.py

@@ -2,10 +2,10 @@ from opencompass.models import HuggingFaceCausalLM
 
 
 _meta_template = dict(
-    begin="Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n",
+    begin='Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n',
     round=[
-        dict(role="HUMAN", begin='### Instruction:\n', end='\n\n'),
-        dict(role="BOT", begin="### Response: ", end='\n\n', generate=True),
+        dict(role='HUMAN', begin='### Instruction:\n', end='\n\n'),
+        dict(role='BOT', begin='### Response: ', end='\n\n', generate=True),
     ],
 )
 

configs/models/others/hf_metamath_mistral_7b.py

@@ -2,10 +2,10 @@ from opencompass.models import HuggingFaceCausalLM
 
 
 _meta_template = dict(
-    begin="Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n",
+    begin='Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n',
     round=[
-        dict(role="HUMAN", begin='### Instruction:\n', end='\n\n'),
-        dict(role="BOT", begin="### Response: ", end='\n\n', generate=True),
+        dict(role='HUMAN', begin='### Instruction:\n', end='\n\n'),
+        dict(role='BOT', begin='### Response: ', end='\n\n', generate=True),
     ],
 )
 

configs/models/others/hf_openchat_35_0106.py

@@ -3,8 +3,8 @@ from opencompass.models import HuggingFaceCausalLM
 
 _meta_template = dict(
     round=[
-        dict(role="HUMAN", begin='GPT4 Correct User: ', end='<|end_of_turn|>'),
-        dict(role="BOT", begin="GPT4 Correct Assistant: ", end='<|end_of_turn|>', generate=True),
+        dict(role='HUMAN', begin='GPT4 Correct User: ', end='<|end_of_turn|>'),
+        dict(role='BOT', begin='GPT4 Correct Assistant: ', end='<|end_of_turn|>', generate=True),
     ],
 )
 

configs/models/others/hf_openchat_35_1210.py

@@ -3,8 +3,8 @@ from opencompass.models import HuggingFaceCausalLM
 
 _meta_template = dict(
     round=[
-        dict(role="HUMAN", begin='GPT4 Correct User: ', end='<|end_of_turn|>'),
-        dict(role="BOT", begin="GPT4 Correct Assistant: ", end='<|end_of_turn|>', generate=True),
+        dict(role='HUMAN', begin='GPT4 Correct User: ', end='<|end_of_turn|>'),
+        dict(role='BOT', begin='GPT4 Correct Assistant: ', end='<|end_of_turn|>', generate=True),
     ],
 )
 

configs/models/others/hf_orionstar_yi_34b_chat.py

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

configs/models/others/hf_telechat_7b_chat.py

@@ -3,8 +3,8 @@ from opencompass.models import HuggingFaceCausalLM
 
 _meta_template = dict(
     round=[
-        dict(role="HUMAN", begin='<_user>'),
-        dict(role="BOT", begin="<_bot>", end='<_end>', generate=True),
+        dict(role='HUMAN', begin='<_user>'),
+        dict(role='BOT', begin='<_bot>', end='<_end>', generate=True),
     ],
 )