fix erro in configs (#750)

configs/datasets/subjective_alignbench/alignbench_judgeby_judgelm.py

@@ -28,7 +28,7 @@ for _name in subjective_all_sets:
                 ]),
             ),
             retriever=dict(type=ZeroRetriever),
-            inferencer=dict(type=GenInferencer， max_out_len=2048),
+            inferencer=dict(type=GenInferencer, max_out_len=2048),
         )
 
     subjective_eval_cfg = dict(

configs/models/judge_llm/auto_j/hf_autoj_bilingual_6b.py

@@ -16,8 +16,8 @@ models = [dict(
                               truncation_side='left',
                               trust_remote_code=True,
                               use_fast=False,),
-        max_out_len=512,
+        max_out_len=1024,
-        max_seq_len=2048,
+        max_seq_len=4096,
         batch_size=8,
         model_kwargs=dict(device_map='auto', trust_remote_code=True),
         run_cfg=dict(num_gpus=1, num_procs=1),

configs/models/judge_llm/auto_j/hf_autoj_eng_13b.py

@@ -3,15 +3,15 @@ from opencompass.models import HuggingFaceCausalLM
 
 models = [dict(
         type=HuggingFaceCausalLM,
-        abbr='autoj-13b-GPTQ-4bits',
+        abbr='autoj-13b',
-        path="GAIR/autoj-13b-GPTQ-4bits",
+        path="GAIR/autoj-13b",
-        tokenizer_path='GAIR/autoj-13b-GPTQ-4bits',
+        tokenizer_path='GAIR/autoj-13b',
         tokenizer_kwargs=dict(padding_side='left',
                               truncation_side='left',
                               trust_remote_code=True,
                               use_fast=False,),
-        max_out_len=512,
+        max_out_len=1024,
-        max_seq_len=2048,
+        max_seq_len=4096,
         batch_size=8,
         model_kwargs=dict(device_map='auto', trust_remote_code=True),
         run_cfg=dict(num_gpus=1, num_procs=1),

configs/models/judge_llm/auto_j/hf_autoj_eng_13b_4bit.py

@@ -8,16 +8,16 @@ https://huggingface.co/GAIR/autoj-13b-GPTQ-4bits
 
 models = [dict(
         type=HuggingFaceCausalLM,
-        abbr='autoj-13b',
+        abbr='autoj-13b-GPTQ-4bits',
-        path="GAIR/autoj-13b",
+        path="GAIR/autoj-13b-GPTQ-4bits",
-        tokenizer_path='GAIR/autoj-13b',
+        tokenizer_path='GAIR/autoj-13b-GPTQ-4bits',
         tokenizer_kwargs=dict(padding_side='left',
                               truncation_side='left',
                               trust_remote_code=True,
                               use_fast=False,),
-        max_out_len=512,
+        max_out_len=1024,
-        max_seq_len=2048,
+        max_seq_len=4096,
         batch_size=8,
         model_kwargs=dict(device_map='auto', trust_remote_code=True),
         run_cfg=dict(num_gpus=1, num_procs=1),
-    )]
+    )]

configs/models/judge_llm/auto_j/hf_autoj_scen_classifier.py

@@ -10,8 +10,8 @@ models = [dict(
                               truncation_side='left',
                               trust_remote_code=True,
                               use_fast=False,),
-        max_out_len=512,
+        max_out_len=1024,
-        max_seq_len=2048,
+        max_seq_len=4096,
         batch_size=8,
         model_kwargs=dict(device_map='auto', trust_remote_code=True),
         run_cfg=dict(num_gpus=1, num_procs=1),

configs/models/judge_llm/judgelm/hf_judgelm_13b_v1.py

@@ -10,8 +10,8 @@ models = [dict(
                               truncation_side='left',
                               trust_remote_code=True,
                               use_fast=False,),
-        max_out_len=512,
+        max_out_len=1024,
-        max_seq_len=2048,
+        max_seq_len=4096,
         batch_size=8,
         model_kwargs=dict(device_map='auto', trust_remote_code=True),
         run_cfg=dict(num_gpus=1, num_procs=1),

configs/models/judge_llm/judgelm/hf_judgelm_33b_v1.py

@@ -10,9 +10,9 @@ models = [dict(
                               truncation_side='left',
                               trust_remote_code=True,
                               use_fast=False,),
-        max_out_len=512,
+        max_out_len=1024,
-        max_seq_len=2048,
+        max_seq_len=4096,
         batch_size=8,
         model_kwargs=dict(device_map='auto', trust_remote_code=True),
-        run_cfg=dict(num_gpus=1, num_procs=1),
+        run_cfg=dict(num_gpus=4, num_procs=1),
     )]

configs/models/judge_llm/judgelm/hf_judgelm_7b_v1.py

@@ -10,8 +10,8 @@ models = [dict(
                               truncation_side='left',
                               trust_remote_code=True,
                               use_fast=False,),
-        max_out_len=512,
+        max_out_len=1024,
-        max_seq_len=2048,
+        max_seq_len=4096,
         batch_size=8,
         model_kwargs=dict(device_map='auto', trust_remote_code=True),
         run_cfg=dict(num_gpus=1, num_procs=1),

configs/models/judge_llm/pandalm/hf_alpaca_pandalm_7b_v1.py

@@ -10,8 +10,8 @@ models = [dict(
                               truncation_side='left',
                               trust_remote_code=True,
                               use_fast=False,),
-        max_out_len=512,
+        max_out_len=1024,
-        max_seq_len=2048,
+        max_seq_len=4096,
         batch_size=8,
         model_kwargs=dict(device_map='auto', trust_remote_code=True),
         run_cfg=dict(num_gpus=1, num_procs=1),

configs/models/judge_llm/pandalm/hf_pandalm_7b_v1.py

@@ -10,8 +10,8 @@ models = [dict(
                               truncation_side='left',
                               trust_remote_code=True,
                               use_fast=False,),
-        max_out_len=512,
+        max_out_len=1024,
-        max_seq_len=2048,
+        max_seq_len=4096,
         batch_size=8,
         model_kwargs=dict(device_map='auto', trust_remote_code=True),
         run_cfg=dict(num_gpus=1, num_procs=1),