[Feaure] Add new models: baichuan2, tigerbot, vicuna v1.5 (#373)

* add bag of new models: baichuan2, tigerbot, vicuna v1.5

* update

* re-organize models

* update readme

* update

configs/models/tigerbot/hf_tigerbot_13b_base_v1.py

+from opencompass.models import HuggingFaceCausalLM
+
+
+models = [
+    dict(
+        type=HuggingFaceCausalLM,
+        abbr='tigerbot-13b-base-v1-hf',
+        path='TigerResearch/tigerbot-13b-base-v1',
+        tokenizer_path='TigerResearch/tigerbot-13b-base-v1',
+        tokenizer_kwargs=dict(
+            padding_side='left',
+            truncation_side='left',
+            trust_remote_code=True,
+        ),
+        max_out_len=100,
+        max_seq_len=2048,
+        batch_size=8,
+        model_kwargs=dict(trust_remote_code=True, device_map='auto'),
+        run_cfg=dict(num_gpus=2, num_procs=1),
+    ),
+]

configs/models/tigerbot/hf_tigerbot_13b_base_v2.py

+from opencompass.models import HuggingFaceCausalLM
+
+
+models = [
+    dict(
+        type=HuggingFaceCausalLM,
+        abbr='tigerbot-13b-base-v2-hf',
+        path='TigerResearch/tigerbot-13b-base',
+        tokenizer_path='TigerResearch/tigerbot-13b-base',
+        tokenizer_kwargs=dict(
+            padding_side='left',
+            truncation_side='left',
+            trust_remote_code=True,
+        ),
+        max_out_len=100,
+        max_seq_len=2048,
+        batch_size=8,
+        model_kwargs=dict(trust_remote_code=True, device_map='auto'),
+        run_cfg=dict(num_gpus=2, num_procs=1),
+    ),
+]

configs/models/tigerbot/hf_tigerbot_13b_chat_v1.py

+from opencompass.models import HuggingFaceCausalLM
+
+
+_meta_template = dict(
+    round=[
+        dict(role='HUMAN', begin='\n\n### Instruction:\n'),
+        dict(role='BOT', begin='\n\n### Response:\n', generate=True),
+    ],
+)
+
+models = [
+    dict(
+        type=HuggingFaceCausalLM,
+        abbr='tigerbot-13b-chat-v1-hf',
+        path="TigerResearch/tigerbot-13b-chat-v1",
+        tokenizer_path='TigerResearch/tigerbot-13b-chat-v1',
+        tokenizer_kwargs=dict(
+            padding_side='left',
+            truncation_side='left',
+            trust_remote_code=True,
+        ),
+        max_out_len=100,
+        max_seq_len=2048,
+        batch_size=8,
+        meta_template=_meta_template,
+        model_kwargs=dict(trust_remote_code=True, device_map='auto'),
+        run_cfg=dict(num_gpus=2, num_procs=1),
+    )
+]

configs/models/tigerbot/hf_tigerbot_13b_chat_v2.py

+from opencompass.models import HuggingFaceCausalLM
+
+
+_meta_template = dict(
+    round=[
+        dict(role='HUMAN', begin='\n\n### Instruction:\n'),
+        dict(role='BOT', begin='\n\n### Response:\n', generate=True),
+    ],
+)
+
+models = [
+    dict(
+        type=HuggingFaceCausalLM,
+        abbr='tigerbot-13b-chat-v2-hf',
+        path="TigerResearch/tigerbot-13b-chat",
+        tokenizer_path='TigerResearch/tigerbot-13b-chat',
+        tokenizer_kwargs=dict(
+            padding_side='left',
+            truncation_side='left',
+            trust_remote_code=True,
+        ),
+        max_out_len=100,
+        max_seq_len=2048,
+        batch_size=8,
+        meta_template=_meta_template,
+        model_kwargs=dict(trust_remote_code=True, device_map='auto'),
+        run_cfg=dict(num_gpus=2, num_procs=1),
+    )
+]

configs/models/hf_tigerbot_7b_base.py → configs/models/tigerbot/hf_tigerbot_7b_base.py

@@ -15,7 +15,7 @@ models = [
         max_out_len=100,
         max_seq_len=2048,
         batch_size=8,
-        model_kwargs=dict(trust_remote_code=True, device_map='auto', revision='5f34fd223586e9efb8eb0e3bc667f03581886992'),
+        model_kwargs=dict(trust_remote_code=True, device_map='auto'),
         run_cfg=dict(num_gpus=1, num_procs=1),
     ),
 ]

configs/models/tigerbot/hf_tigerbot_7b_base_v3.py

+from opencompass.models import HuggingFaceCausalLM
+
+
+models = [
+    dict(
+        type=HuggingFaceCausalLM,
+        abbr='tigerbot-7b-base-v3-hf',
+        path='TigerResearch/tigerbot-7b-base',
+        tokenizer_path='TigerResearch/tigerbot-7b-base',
+        tokenizer_kwargs=dict(
+            padding_side='left',
+            truncation_side='left',
+            trust_remote_code=True,
+        ),
+        max_out_len=100,
+        max_seq_len=2048,
+        batch_size=8,
+        model_kwargs=dict(trust_remote_code=True, device_map='auto'),
+        run_cfg=dict(num_gpus=1, num_procs=1),
+    ),
+]

configs/models/tigerbot/hf_tigerbot_7b_chat_v3.py

+from opencompass.models import HuggingFaceCausalLM
+
+
+_meta_template = dict(
+    round=[
+        dict(role='HUMAN', begin='\n\n### Instruction:\n'),
+        dict(role='BOT', begin='\n\n### Response:\n', generate=True),
+    ],
+)
+
+models = [
+    dict(
+        type=HuggingFaceCausalLM,
+        abbr='tigerbot-7b-chat-v3-hf',
+        path="TigerResearch/tigerbot-7b-chat",
+        tokenizer_path='TigerResearch/tigerbot-7b-chat',
+        tokenizer_kwargs=dict(
+            padding_side='left',
+            truncation_side='left',
+            trust_remote_code=True,
+        ),
+        max_out_len=100,
+        max_seq_len=2048,
+        batch_size=8,
+        meta_template=_meta_template,
+        model_kwargs=dict(trust_remote_code=True, device_map='auto'),
+        run_cfg=dict(num_gpus=1, num_procs=1),
+    )
+]