[Format] Add config lints (#892)

configs/models/hf_internlm/hf_internlm2_1_8b.py

@@ -4,7 +4,7 @@ models = [
     dict(
         type=HuggingFaceBaseModel,
         abbr='internlm2-1.8b-hf',
-        path="internlm/internlm2-1_8b",
+        path='internlm/internlm2-1_8b',
         max_out_len=1024,
         batch_size=8,
         run_cfg=dict(num_gpus=1),

configs/models/hf_internlm/hf_internlm2_20b.py

@@ -5,7 +5,7 @@ models = [
     dict(
         type=HuggingFaceBaseModel,
         abbr='internlm2-20b-hf',
-        path="internlm/internlm2-20b",
+        path='internlm/internlm2-20b',
         max_out_len=1024,
         batch_size=8,
         run_cfg=dict(num_gpus=2),

configs/models/hf_internlm/hf_internlm2_7b.py

@@ -5,7 +5,7 @@ models = [
     dict(
         type=HuggingFaceBaseModel,
         abbr='internlm2-7b-hf',
-        path="internlm/internlm2-7b",
+        path='internlm/internlm2-7b',
         max_out_len=1024,
         batch_size=8,
         run_cfg=dict(num_gpus=1),

configs/models/hf_internlm/hf_internlm2_base_20b.py

@@ -5,7 +5,7 @@ models = [
     dict(
         type=HuggingFaceBaseModel,
         abbr='internlm2-base-20b-hf',
-        path="internlm/internlm2-base-20b",
+        path='internlm/internlm2-base-20b',
         max_out_len=1024,
         batch_size=8,
         run_cfg=dict(num_gpus=2),

configs/models/hf_internlm/hf_internlm2_base_7b.py

@@ -5,7 +5,7 @@ models = [
     dict(
         type=HuggingFaceBaseModel,
         abbr='internlm2-base-7b-hf',
-        path="internlm/internlm2-base-7b",
+        path='internlm/internlm2-base-7b',
         max_out_len=1024,
         batch_size=8,
         run_cfg=dict(num_gpus=1),

configs/models/hf_internlm/hf_internlm2_chat_20b_with_system.py

@@ -13,7 +13,7 @@ models = [
     dict(
         type=HuggingFaceCausalLM,
         abbr='internlm2-chat-20b-hf',
-        path="internlm/internlm2-chat-20b",
+        path='internlm/internlm2-chat-20b',
         tokenizer_path='internlm/internlm2-chat-20b',
         model_kwargs=dict(
             trust_remote_code=True,
@@ -31,7 +31,7 @@ models = [
         meta_template=_meta_template,
         run_cfg=dict(num_gpus=2, num_procs=1),
         end_str='<|im_end|>',
-        generation_kwargs = {"eos_token_id": [2, 92542]},
+        generation_kwargs = {'eos_token_id': [2, 92542]},
         batch_padding=True,
     )
 ]

configs/models/hf_internlm/hf_internlm2_chat_7b_with_system.py

@@ -13,7 +13,7 @@ models = [
     dict(
         type=HuggingFaceCausalLM,
         abbr='internlm2-chat-7b-hf',
-        path="internlm/internlm2-chat-7b",
+        path='internlm/internlm2-chat-7b',
         tokenizer_path='internlm/internlm2-chat-7b',
         model_kwargs=dict(
             trust_remote_code=True,
@@ -31,7 +31,7 @@ models = [
         meta_template=_meta_template,
         run_cfg=dict(num_gpus=1, num_procs=1),
         end_str='<|im_end|>',
-        generation_kwargs = {"eos_token_id": [2, 92542]},
+        generation_kwargs = {'eos_token_id': [2, 92542]},
         batch_padding=True,
     )
 ]

configs/models/hf_internlm/hf_internlm2_chat_math_20b_with_system.py

@@ -13,7 +13,7 @@ models = [
     dict(
         type=HuggingFaceCausalLM,
         abbr='internlm2-chat-math-20b-hf',
-        path="internlm/internlm2-math-20b",
+        path='internlm/internlm2-math-20b',
         tokenizer_path='internlm/internlm2-math-20b',
         model_kwargs=dict(
             trust_remote_code=True,

configs/models/hf_internlm/hf_internlm2_chat_math_7b_with_system.py

@@ -13,7 +13,7 @@ models = [
     dict(
         type=HuggingFaceCausalLM,
         abbr='internlm2-chat-math-7b-hf',
-        path="internlm/internlm2-math-7b",
+        path='internlm/internlm2-math-7b',
         tokenizer_path='internlm/internlm2-math-7b',
         model_kwargs=dict(
             trust_remote_code=True,

configs/models/hf_internlm/hf_internlm2_math_20b.py

@@ -5,7 +5,7 @@ models = [
     dict(
         type=HuggingFaceBaseModel,
         abbr='internlm2-math-20b-hf',
-        path="internlm/internlm2-math-20b",
+        path='internlm/internlm2-math-20b',
         max_out_len=1024,
         batch_size=8,
         run_cfg=dict(num_gpus=2),

configs/models/hf_internlm/hf_internlm2_math_7b.py

@@ -5,7 +5,7 @@ models = [
     dict(
         type=HuggingFaceBaseModel,
         abbr='internlm2-math-7b-hf',
-        path="internlm/internlm2-math-7b",
+        path='internlm/internlm2-math-7b',
         max_out_len=1024,
         batch_size=8,
         run_cfg=dict(num_gpus=1),

configs/models/hf_internlm/hf_internlm_20b.py

@@ -5,7 +5,7 @@ models = [
     dict(
         type=HuggingFaceBaseModel,
         abbr='internlm-20b-hf',
-        path="internlm/internlm-20b",
+        path='internlm/internlm-20b',
         max_out_len=1024,
         batch_size=8,
         run_cfg=dict(num_gpus=2),

configs/models/hf_internlm/hf_internlm_7b.py

@@ -5,7 +5,7 @@ models = [
     dict(
         type=HuggingFaceBaseModel,
         abbr='internlm-7b-hf',
-        path="internlm/internlm-7b",
+        path='internlm/internlm-7b',
         max_out_len=1024,
         batch_size=8,
         run_cfg=dict(num_gpus=1),

configs/models/hf_internlm/hf_internlm_chat_20b.py

@@ -12,7 +12,7 @@ models = [
     dict(
         type=HuggingFaceCausalLM,
         abbr='internlm-chat-20b-hf',
-        path="internlm/internlm-chat-20b",
+        path='internlm/internlm-chat-20b',
         tokenizer_path='internlm/internlm-chat-20b',
         model_kwargs=dict(
             trust_remote_code=True,
@@ -31,4 +31,4 @@ models = [
         run_cfg=dict(num_gpus=2, num_procs=1),
         end_str='<eoa>',
     )
-]
+]
\ No newline at end of file

configs/models/hf_internlm/hf_internlm_chat_7b.py

@@ -12,7 +12,7 @@ models = [
     dict(
         type=HuggingFaceCausalLM,
         abbr='internlm-chat-7b-hf',
-        path="internlm/internlm-chat-7b",
+        path='internlm/internlm-chat-7b',
         tokenizer_path='internlm/internlm-chat-7b',
         model_kwargs=dict(
             trust_remote_code=True,
@@ -31,4 +31,4 @@ models = [
         run_cfg=dict(num_gpus=1, num_procs=1),
         end_str='<eoa>',
     )
-]
+]
\ No newline at end of file

configs/models/hf_internlm/lmdeploy_internlm2_20b.py

@@ -4,12 +4,12 @@ from opencompass.models.turbomind import TurboMindModel
 models = [
     dict(
         type=TurboMindModel,
-        abbr="internlm2-20b-turbomind",
-        path="internlm/internlm2-20b",
+        abbr='internlm2-20b-turbomind',
+        path='internlm/internlm2-20b',
         engine_config=dict(
             session_len=32768,
             max_batch_size=32,
-            model_name="internlm2-20b",
+            model_name='internlm2-20b',
             tp=2,
         ),
         gen_config=dict(

configs/models/hf_internlm/lmdeploy_internlm2_chat_20b.py

@@ -3,21 +3,21 @@ 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),
+        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),
     ],
 )
 
 models = [
     dict(
         type=TurboMindModel,
-        abbr="internlm2-chat-20b-turbomind",
-        path="internlm/internlm2-chat-20b",
+        abbr='internlm2-chat-20b-turbomind',
+        path='internlm/internlm2-chat-20b',
         meta_template=_meta_template,
         engine_config=dict(
             session_len=32768,
             max_batch_size=32,
-            model_name="internlm2-chat-20b",
+            model_name='internlm2-chat-20b',
             tp=2,
             stop_words=[2, 92542],
         ),

configs/models/hf_internlm/lmdeploy_internlm2_chat_7b.py

@@ -3,21 +3,21 @@ 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),
+        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),
     ],
 )
 
 models = [
     dict(
         type=TurboMindModel,
-        abbr="internlm2-chat-7b-turbomind",
-        path="internlm/internlm2-chat-7b",
+        abbr='internlm2-chat-7b-turbomind',
+        path='internlm/internlm2-chat-7b',
         meta_template=_meta_template,
         engine_config=dict(
             session_len=32768,
             max_batch_size=32,
-            model_name="internlm2-chat-7b",
+            model_name='internlm2-chat-7b',
             tp=1,
             stop_words=[2, 92542],
         ),

configs/models/hf_llama/lmdeploy_llama3_70b_instruct.py

@@ -2,8 +2,8 @@ from opencompass.models import TurboMindModel
 
 _meta_template = dict(
     round=[
-        dict(role="HUMAN", begin='<|begin_of_text|>user<|end_header_id|>\n\n', end='<|eot_id|>'),
-        dict(role="BOT", begin='<|begin_of_text|>assistant<|end_header_id|>\n\n', end='<|eot_id|>', generate=True),
+        dict(role='HUMAN', begin='<|begin_of_text|>user<|end_header_id|>\n\n', end='<|eot_id|>'),
+        dict(role='BOT', begin='<|begin_of_text|>assistant<|end_header_id|>\n\n', end='<|eot_id|>', generate=True),
     ],
 )
 

configs/models/hf_llama/lmdeploy_llama3_8b_instruct.py

@@ -2,8 +2,8 @@ from opencompass.models import TurboMindModel
 
 _meta_template = dict(
     round=[
-        dict(role="HUMAN", begin='<|begin_of_text|>user<|end_header_id|>\n\n', end='<|eot_id|>'),
-        dict(role="BOT", begin='<|begin_of_text|>assistant<|end_header_id|>\n\n', end='<|eot_id|>', generate=True),
+        dict(role='HUMAN', begin='<|begin_of_text|>user<|end_header_id|>\n\n', end='<|eot_id|>'),
+        dict(role='BOT', begin='<|begin_of_text|>assistant<|end_header_id|>\n\n', end='<|eot_id|>', generate=True),
     ],
 )