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78 lines
2.5 KiB
Python
78 lines
2.5 KiB
Python
from mmengine.config import read_base
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from opencompass.models import TurboMindModelwithChatTemplate
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from opencompass.utils.text_postprocessors import extract_non_reasoning_content
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with read_base():
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from opencompass.configs.datasets.math.math_500_gen import math_datasets
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models = [
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dict(
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type=TurboMindModelwithChatTemplate,
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abbr='deepseek-r1-distill-llama-8b-turbomind',
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path='deepseek-ai/DeepSeek-R1-Distill-Llama-8B',
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engine_config=dict(session_len=32768, max_batch_size=8, tp=1),
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gen_config=dict(
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top_k=1, temperature=1e-6, top_p=0.9, max_new_tokens=4096
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),
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max_seq_len=32768,
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max_out_len=32768,
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batch_size=32,
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run_cfg=dict(num_gpus=1),
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pred_postprocessor=dict(type=extract_non_reasoning_content),
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),
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dict(
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type=TurboMindModelwithChatTemplate,
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abbr='deepseek-r1-distill-qwen-7b-turbomind',
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path='deepseek-ai/DeepSeek-R1-Distill-Qwen-7B',
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engine_config=dict(session_len=32768, max_batch_size=8, tp=1),
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gen_config=dict(
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temperature=0.6,
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top_p=0.95,
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max_new_tokens=32768,
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do_sample=True,
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),
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max_seq_len=32768,
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max_out_len=32768,
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batch_size=32,
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run_cfg=dict(num_gpus=1),
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pred_postprocessor=dict(type=extract_non_reasoning_content),
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),
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dict(
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type=TurboMindModelwithChatTemplate,
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abbr='deepseek-r1-distill-qwen-1_5b-turbomind',
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path='deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B',
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engine_config=dict(session_len=32768, max_batch_size=16, tp=1),
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gen_config=dict(
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top_k=1, temperature=1e-6, top_p=0.9, max_new_tokens=4096
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),
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max_seq_len=32768,
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max_out_len=32768,
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batch_size=32,
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run_cfg=dict(num_gpus=1),
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pred_postprocessor=dict(type=extract_non_reasoning_content),
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),
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dict(
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type=TurboMindModelwithChatTemplate,
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abbr='deepseek-r1-distill-qwen-14b-turbomind',
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path='deepseek-ai/DeepSeek-R1-Distill-Qwen-14B',
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engine_config=dict(session_len=32768, max_batch_size=16, tp=2),
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gen_config=dict(
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top_k=1,
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temperature=0.6,
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top_p=0.95,
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max_new_tokens=32768,
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do_sample=True,
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),
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max_seq_len=32768,
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max_out_len=32768,
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batch_size=16,
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run_cfg=dict(num_gpus=2),
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pred_postprocessor=dict(type=extract_non_reasoning_content),
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),
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]
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datasets = [*math_datasets]
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work_dir = './outputs/math_500'
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