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[Fix] Update HF configs (#42)
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@ -5,12 +5,13 @@ models = [
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dict(
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type=HuggingFaceCausalLM,
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abbr='internlm-7b-hf',
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path="internlm-7b",
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tokenizer_path='internlm-7b',
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path="internlm/internlm-7b",
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tokenizer_path='internlm/internlm-7b',
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tokenizer_kwargs=dict(
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padding_side='left',
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truncation_side='left',
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use_fast=False,
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trust_remote_code=True,
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),
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max_out_len=100,
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max_seq_len=2048,
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@ -12,12 +12,13 @@ models = [
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dict(
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type=HuggingFaceCausalLM,
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abbr='internlm-chat-7b-hf',
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path="internlm-chat-7b",
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tokenizer_path='internlm-chat-7b',
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path="internlm/internlm-chat-7b",
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tokenizer_path='internlm/internlm-chat-7b',
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tokenizer_kwargs=dict(
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padding_side='left',
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truncation_side='left',
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use_fast=False,
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trust_remote_code=True,
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),
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max_out_len=100,
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max_seq_len=2048,
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30
configs/models/hf_internlm_chat_7b_8k.py
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30
configs/models/hf_internlm_chat_7b_8k.py
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@ -0,0 +1,30 @@
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from opencompass.models import HuggingFaceCausalLM
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_meta_template = dict(
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round=[
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dict(role='HUMAN', begin='<|User|>:', end='<eoh>\n'),
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dict(role='BOT', begin='<|Bot|>:', end='<eoa>\n', generate=True),
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],
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)
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models = [
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dict(
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type=HuggingFaceCausalLM,
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abbr='internlm-chat-7b-8k-hf',
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path="internlm/internlm-chat-7b-8k",
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tokenizer_path='internlm/internlm-chat-7b-8k',
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tokenizer_kwargs=dict(
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padding_side='left',
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truncation_side='left',
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use_fast=False,
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trust_remote_code=True,
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),
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max_out_len=100,
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max_seq_len=2048,
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batch_size=8,
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meta_template=_meta_template,
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model_kwargs=dict(trust_remote_code=True, device_map='auto'),
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run_cfg=dict(num_gpus=1, num_procs=1),
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)
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]
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@ -5,6 +5,7 @@ models = [
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# LLaMA 13B
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dict(
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type=HuggingFaceCausalLM,
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abbr='llama-13b-hf',
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path="decapoda-research/llama-13b-hf",
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tokenizer_path='decapoda-research/llama-13b-hf',
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tokenizer_kwargs=dict(padding_side='left',
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