[Fix] rename qwen2-beta -> qwen1.5 (#894)

configs/models/qwen/hf_qwen2_beta_7b.py → configs/models/qwen/hf_qwen1_5_0_5b.py

@@ -3,9 +3,9 @@ from opencompass.models import HuggingFaceCausalLM
 models = [
     dict(
         type=HuggingFaceCausalLM,
-        abbr='qwen2-beta-7b-hf',
-        path="Qwen/Qwen2-beta-7B",
-        tokenizer_path='Qwen/Qwen2-beta-7B',
+        abbr='qwen1.5-0.5b-hf',
+        path="Qwen/Qwen1.5-0.5B",
+        tokenizer_path='Qwen/Qwen1.5-0.5B',
         model_kwargs=dict(
             device_map='auto',
             trust_remote_code=True

configs/models/qwen/hf_qwen2_beta_7b_chat.py → configs/models/qwen/hf_qwen1_5_0_5b_chat.py

@@ -11,8 +11,8 @@ _meta_template = dict(
 models = [
     dict(
         type=HuggingFaceCausalLM,
-        abbr='qwen2-beta-7b-chat-hf',
-        path="Qwen/Qwen2-beta-7B-Chat",
+        abbr='qwen1.5-0.5b-chat-hf',
+        path="Qwen/Qwen1.5-0.5B-Chat",
         model_kwargs=dict(
             device_map='auto',
             trust_remote_code=True

configs/models/qwen/hf_qwen2_beta_4b.py → configs/models/qwen/hf_qwen1_5_14b.py

@@ -3,9 +3,9 @@ from opencompass.models import HuggingFaceCausalLM
 models = [
     dict(
         type=HuggingFaceCausalLM,
-        abbr='qwen2-beta-4b-hf',
-        path="Qwen/Qwen2-beta-4B",
-        tokenizer_path='Qwen/Qwen2-beta-4B',
+        abbr='qwen1.5-14b-hf',
+        path="Qwen/Qwen1.5-14B",
+        tokenizer_path='Qwen/Qwen1.5-14B',
         model_kwargs=dict(
             device_map='auto',
             trust_remote_code=True

configs/models/qwen/hf_qwen2_beta_4b_chat.py → configs/models/qwen/hf_qwen1_5_14b_chat.py

@@ -11,8 +11,8 @@ _meta_template = dict(
 models = [
     dict(
         type=HuggingFaceCausalLM,
-        abbr='qwen2-beta-4b-chat-hf',
-        path="Qwen/Qwen2-beta-4B-Chat",
+        abbr='qwen1.5-14b-chat-hf',
+        path="Qwen/Qwen1.5-14B-Chat",
         model_kwargs=dict(
             device_map='auto',
             trust_remote_code=True

configs/models/qwen/hf_qwen2_beta_14b.py → configs/models/qwen/hf_qwen1_5_1_8b.py

@@ -3,9 +3,9 @@ from opencompass.models import HuggingFaceCausalLM
 models = [
     dict(
         type=HuggingFaceCausalLM,
-        abbr='qwen2-beta-14b-hf',
-        path="Qwen/Qwen2-beta-14B",
-        tokenizer_path='Qwen/Qwen2-beta-14B',
+        abbr='qwen1.5-1.8b-hf',
+        path="Qwen/Qwen1.5-1.8B",
+        tokenizer_path='Qwen/Qwen1.5-1.8B',
         model_kwargs=dict(
             device_map='auto',
             trust_remote_code=True

configs/models/qwen/hf_qwen2_beta_14b_chat.py → configs/models/qwen/hf_qwen1_5_1_8b_chat.py

@@ -11,8 +11,8 @@ _meta_template = dict(
 models = [
     dict(
         type=HuggingFaceCausalLM,
-        abbr='qwen2-beta-14b-chat-hf',
-        path="Qwen/Qwen2-beta-14B-Chat",
+        abbr='qwen1.5-1.8b-chat-hf',
+        path="Qwen/Qwen1.5-1.8B-Chat",
         model_kwargs=dict(
             device_map='auto',
             trust_remote_code=True

configs/models/qwen/hf_qwen2_beta_1_8b.py → configs/models/qwen/hf_qwen1_5_4b.py

@@ -3,9 +3,9 @@ from opencompass.models import HuggingFaceCausalLM
 models = [
     dict(
         type=HuggingFaceCausalLM,
-        abbr='qwen2-beta-1.8b-hf',
-        path="Qwen/Qwen2-beta-1_8B",
-        tokenizer_path='Qwen/Qwen2-beta-1_8B',
+        abbr='qwen1.5-4b-hf',
+        path="Qwen/Qwen1.5-4B",
+        tokenizer_path='Qwen/Qwen1.5-4B',
         model_kwargs=dict(
             device_map='auto',
             trust_remote_code=True

configs/models/qwen/hf_qwen2_beta_0_5b_chat.py → configs/models/qwen/hf_qwen1_5_4b_chat.py

@@ -11,8 +11,8 @@ _meta_template = dict(
 models = [
     dict(
         type=HuggingFaceCausalLM,
-        abbr='qwen2-beta-0.5b-chat-hf',
-        path="Qwen/Qwen2-beta-0_5B-Chat",
+        abbr='qwen1.5-4b-chat-hf',
+        path="Qwen/Qwen1.5-4B-Chat",
         model_kwargs=dict(
             device_map='auto',
             trust_remote_code=True

configs/models/qwen/hf_qwen2_beta_72b.py → configs/models/qwen/hf_qwen1_5_72b.py

@@ -3,9 +3,9 @@ from opencompass.models import HuggingFaceCausalLM
 models = [
     dict(
         type=HuggingFaceCausalLM,
-        abbr='qwen2-beta-72b-hf',
-        path="Qwen/Qwen2-beta-72B",
-        tokenizer_path='Qwen/Qwen2-beta-72B',
+        abbr='qwen1.5-72b-hf',
+        path="Qwen/Qwen1.5-72B",
+        tokenizer_path='Qwen/Qwen1.5-72B',
         model_kwargs=dict(
             device_map='auto',
             trust_remote_code=True

configs/models/qwen/hf_qwen2_beta_72b_chat.py → configs/models/qwen/hf_qwen1_5_72b_chat.py

@@ -11,8 +11,8 @@ _meta_template = dict(
 models = [
     dict(
         type=HuggingFaceCausalLM,
-        abbr='qwen2-beta-72b-chat-hf',
-        path="Qwen/Qwen2-beta-72B-Chat",
+        abbr='qwen1.5-72b-chat-hf',
+        path="Qwen/Qwen1.5-72B-Chat",
         model_kwargs=dict(
             device_map='auto',
             trust_remote_code=True

configs/models/qwen/hf_qwen1_5_7b.py

+from opencompass.models import HuggingFaceCausalLM
+
+models = [
+    dict(
+        type=HuggingFaceCausalLM,
+        abbr='qwen1.5-7b-hf',
+        path="Qwen/Qwen1.5-7B",
+        tokenizer_path='Qwen/Qwen1.5-7B',
+        model_kwargs=dict(
+            device_map='auto',
+            trust_remote_code=True
+        ),
+        tokenizer_kwargs=dict(
+            padding_side='left',
+            truncation_side='left',
+            trust_remote_code=True,
+            use_fast=False,
+        ),
+        pad_token_id=151645,
+        max_out_len=100,
+        max_seq_len=2048,
+        batch_size=8,
+        run_cfg=dict(num_gpus=1, num_procs=1),
+    )
+]

configs/models/qwen/hf_qwen1_5_7b_chat.py

+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),
+    ],
+    eos_token_id=151645,
+)
+
+models = [
+    dict(
+        type=HuggingFaceCausalLM,
+        abbr='qwen1.5-7b-chat-hf',
+        path="Qwen/Qwen1.5-7B-Chat",
+        model_kwargs=dict(
+            device_map='auto',
+            trust_remote_code=True
+        ),
+        tokenizer_kwargs=dict(
+            padding_side='left',
+            truncation_side='left',
+            trust_remote_code=True,
+            use_fast=False,
+        ),
+        meta_template=_meta_template,
+        pad_token_id=151645,
+        max_out_len=100,
+        max_seq_len=2048,
+        batch_size=8,
+        run_cfg=dict(num_gpus=1, num_procs=1),
+        end_str='<|im_end|>',
+    )
+]

configs/models/qwen/hf_qwen2_beta_0_5b.py

-from opencompass.models import HuggingFaceCausalLM
-
-models = [
-    dict(
-        type=HuggingFaceCausalLM,
-        abbr='qwen2-beta-0.5b-hf',
-        path="Qwen/Qwen2-beta-0_5B",
-        tokenizer_path='Qwen/Qwen2-beta-0_5B',
-        model_kwargs=dict(
-            device_map='auto',
-            trust_remote_code=True
-        ),
-        tokenizer_kwargs=dict(
-            padding_side='left',
-            truncation_side='left',
-            trust_remote_code=True,
-            use_fast=False,
-        ),
-        pad_token_id=151645,
-        max_out_len=100,
-        max_seq_len=2048,
-        batch_size=8,
-        run_cfg=dict(num_gpus=1, num_procs=1),
-    )
-]

configs/models/qwen/hf_qwen2_beta_1_8b_chat.py

-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),
-    ],
-    eos_token_id=151645,
-)
-
-models = [
-    dict(
-        type=HuggingFaceCausalLM,
-        abbr='qwen2-beta-1.8b-chat-hf',
-        path="Qwen/Qwen2-beta-1_8B-Chat",
-        model_kwargs=dict(
-            device_map='auto',
-            trust_remote_code=True
-        ),
-        tokenizer_kwargs=dict(
-            padding_side='left',
-            truncation_side='left',
-            trust_remote_code=True,
-            use_fast=False,
-        ),
-        meta_template=_meta_template,
-        pad_token_id=151645,
-        max_out_len=100,
-        max_seq_len=2048,
-        batch_size=8,
-        run_cfg=dict(num_gpus=1, num_procs=1),
-        end_str='<|im_end|>',
-    )
-]

configs/models/qwen/vllm_qwen2_beta_72b.py → configs/models/qwen/vllm_qwen1_5_72b.py

@@ -4,8 +4,8 @@ from opencompass.models import VLLM
 models = [
     dict(
         type=VLLM,
-        abbr='qwen2-beta-72b-vllm',
-        path="Qwen/Qwen2-beta-72B",
+        abbr='qwen1.5-72b-vllm',
+        path="Qwen/Qwen1.5-72B",
         model_kwargs=dict(tensor_parallel_size=4),
         max_out_len=100,
         max_seq_len=2048,

configs/models/qwen/vllm_qwen2_beta_72b_chat.py → configs/models/qwen/vllm_qwen1_5_72b_chat.py

@@ -12,8 +12,8 @@ _meta_template = dict(
 models = [
     dict(
         type=VLLM,
-        abbr='qwen2-beta-72b-chat-vllm',
-        path="Qwen/Qwen2-beta-72B-Chat",
+        abbr='qwen1.5-72b-chat-vllm',
+        path="Qwen/Qwen1.5-72B-Chat",
         model_kwargs=dict(tensor_parallel_size=4),
         meta_template=_meta_template,
         max_out_len=100,