[Fix] Update HF configs (#42)

configs/models/hf_internlm_7b.py

@@ -5,12 +5,13 @@ models = [
     dict(
         type=HuggingFaceCausalLM,
         abbr='internlm-7b-hf',
-        path="internlm-7b",
-        tokenizer_path='internlm-7b',
+        path="internlm/internlm-7b",
+        tokenizer_path='internlm/internlm-7b',
         tokenizer_kwargs=dict(
             padding_side='left',
             truncation_side='left',
             use_fast=False,
+            trust_remote_code=True,
         ),
         max_out_len=100,
         max_seq_len=2048,

configs/models/hf_internlm_chat_7b.py

@@ -12,12 +12,13 @@ models = [
     dict(
         type=HuggingFaceCausalLM,
         abbr='internlm-chat-7b-hf',
-        path="internlm-chat-7b",
-        tokenizer_path='internlm-chat-7b',
+        path="internlm/internlm-chat-7b",
+        tokenizer_path='internlm/internlm-chat-7b',
         tokenizer_kwargs=dict(
             padding_side='left',
             truncation_side='left',
             use_fast=False,
+            trust_remote_code=True,
         ),
         max_out_len=100,
         max_seq_len=2048,

configs/models/hf_internlm_chat_7b_8k.py

+from opencompass.models import HuggingFaceCausalLM
+
+
+_meta_template = dict(
+    round=[
+        dict(role='HUMAN', begin='<|User|>:', end='<eoh>\n'),
+        dict(role='BOT', begin='<|Bot|>:', end='<eoa>\n', generate=True),
+    ],
+)
+
+models = [
+    dict(
+        type=HuggingFaceCausalLM,
+        abbr='internlm-chat-7b-8k-hf',
+        path="internlm/internlm-chat-7b-8k",
+        tokenizer_path='internlm/internlm-chat-7b-8k',
+        tokenizer_kwargs=dict(
+            padding_side='left',
+            truncation_side='left',
+            use_fast=False,
+            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),
+    )
+]

configs/models/hf_llama_13b.py

@@ -5,6 +5,7 @@ models = [
     # LLaMA 13B
     dict(
         type=HuggingFaceCausalLM,
+        abbr='llama-13b-hf',
         path="decapoda-research/llama-13b-hf",
         tokenizer_path='decapoda-research/llama-13b-hf',
         tokenizer_kwargs=dict(padding_side='left',