Fix Llama-3 meta template

configs/models/hf_llama/hf_llama3_70b_instruct.py

@@ -0,0 +1,29 @@
+from opencompass.models import HuggingFaceCausalLM
+
+_meta_template = dict(
+    round=[
+        dict(role="HUMAN", begin="<|start_header_id|>user<|end_header_id|>\n\n", end="<|eot_id|>"),
+        dict(role="BOT", begin="<|start_header_id|>assistant<|end_header_id|>\n\n", end="<|eot_id|>", generate=True),
+    ],
+)
+
+models = [
+    dict(
+        type=HuggingFaceCausalLM,
+        abbr="llama-3-70b-instruct-hf",
+        path="meta-llama/Meta-Llama-3-70B-Instruct",
+        model_kwargs=dict(device_map="auto"),
+        tokenizer_kwargs=dict(
+            padding_side="left",
+            truncation_side="left",
+            use_fast=False,
+        ),
+        meta_template=_meta_template,
+        max_out_len=100,
+        max_seq_len=2048,
+        batch_size=8,
+        run_cfg=dict(num_gpus=4, num_procs=1),
+        generation_kwargs={"eos_token_id": [128001, 128009]},
+        batch_padding=True,
+    )
+]

configs/models/hf_llama/hf_llama3_8b_instruct.py

@@ -0,0 +1,29 @@
+from opencompass.models import HuggingFaceCausalLM
+
+_meta_template = dict(
+    round=[
+        dict(role="HUMAN", begin="<|start_header_id|>user<|end_header_id|>\n\n", end="<|eot_id|>"),
+        dict(role="BOT", begin="<|start_header_id|>assistant<|end_header_id|>\n\n", end="<|eot_id|>", generate=True),
+    ],
+)
+
+models = [
+    dict(
+        type=HuggingFaceCausalLM,
+        abbr="llama-3-8b-instruct-hf",
+        path="meta-llama/Meta-Llama-3-8B-Instruct",
+        model_kwargs=dict(device_map="auto"),
+        tokenizer_kwargs=dict(
+            padding_side="left",
+            truncation_side="left",
+            use_fast=False,
+        ),
+        meta_template=_meta_template,
+        max_out_len=100,
+        max_seq_len=2048,
+        batch_size=8,
+        run_cfg=dict(num_gpus=1, num_procs=1),
+        generation_kwargs={"eos_token_id": [128001, 128009]},
+        batch_padding=True,
+    )
+]