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85 lines
2.7 KiB
Python
85 lines
2.7 KiB
Python
from opencompass.models import HuggingFaceCausalLM, HuggingFace, HuggingFaceChatGLM3
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from opencompass.models.openai_api import OpenAI
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from opencompass.partitioners import NaivePartitioner, SizePartitioner
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from opencompass.partitioners.sub_naive import SubjectiveNaivePartitioner
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from opencompass.partitioners.sub_size import SubjectiveSizePartitioner
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from opencompass.runners import LocalRunner
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from opencompass.runners import SlurmSequentialRunner
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from opencompass.tasks import OpenICLInferTask
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from opencompass.tasks.subjective_eval import SubjectiveEvalTask
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api_meta_template = dict(
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round=[
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dict(role='HUMAN', api_role='HUMAN'),
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dict(role='BOT', api_role='BOT', generate=True),
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]
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)
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# -------------Inference Stage ----------------------------------------
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# For subjective evaluation, we often set do sample for models
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models = [
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dict(
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type=HuggingFaceChatGLM3,
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abbr='chatglm3-6b-hf',
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path='THUDM/chatglm3-6b',
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tokenizer_path='THUDM/chatglm3-6b',
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model_kwargs=dict(
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device_map='auto',
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trust_remote_code=True,
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),
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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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trust_remote_code=True,
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),
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generation_kwargs=dict(
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do_sample=True,
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),
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meta_template=api_meta_template,
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max_out_len=2048,
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max_seq_len=4096,
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batch_size=1,
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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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judge_model = dict(
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abbr='GPT4-Turbo',
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type=OpenAI, path='gpt-4-1106-preview',
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key='', # The key will be obtained from $OPENAI_API_KEY, but you can write down your key here as well
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url='',
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meta_template=api_meta_template,
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query_per_second=1,
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max_out_len=1024,
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max_seq_len=4096,
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batch_size=1,
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retry=30,
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temperature = 0
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)
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infer = dict(
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partitioner=dict(type=SizePartitioner, strategy='split', max_task_size=10000),
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runner=dict(
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type=SlurmSequentialRunner,
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partition='llmeval',
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quotatype='auto',
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max_num_workers=256,
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task=dict(type=OpenICLInferTask),
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),
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)
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runner=dict(type=LocalRunner, max_num_workers=12, task=dict(type=SubjectiveEvalTask, judge_cfg=judge_model))
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gpt4 = dict(
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abbr='gpt4-turbo',
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type=OpenAI,
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path='gpt-4-1106-preview',
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key='', # The key will be obtained from $OPENAI_API_KEY, but you can write down your key here as well
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meta_template=api_meta_template,
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query_per_second=1,
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max_out_len=2048,
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max_seq_len=4096,
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batch_size=4,
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retry=20,
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temperature=1,
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)
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given_pred = [{'abbr':'gpt4-turbo', 'path':'your path'}]
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