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31 lines
1.0 KiB
Python
31 lines
1.0 KiB
Python
from opencompass.models import LmdeployPytorchModel
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settings = [
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('qwen1.5-0.5b-pytorch', 'Qwen/Qwen1.5-0.5B', 1),
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('qwen1.5-1.8b-pytorch', 'Qwen/Qwen1.5-1.8B', 1),
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('qwen1.5-4b-pytorch', 'Qwen/Qwen1.5-4B', 1),
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('qwen1.5-7b-pytorch', 'Qwen/Qwen1.5-7B', 1),
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('qwen1.5-14b-pytorch', 'Qwen/Qwen1.5-14B', 1),
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('qwen1.5-32b-pytorch', 'Qwen/Qwen1.5-32B', 2),
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('qwen1.5-72b-pytorch', 'Qwen/Qwen1.5-72B', 4),
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('qwen1.5-110b-pytorch', 'Qwen/Qwen1.5-110B', 4),
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('qwen1.5-moe-a2.7b-pytorch', 'Qwen/Qwen1.5-MoE-A2.7B', 1),
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]
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models = []
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for abbr, path, num_gpus in settings:
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models.append(
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dict(
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type=LmdeployPytorchModel,
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abbr=abbr,
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path=path,
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engine_config=dict(session_len=2048, max_batch_size=16, tp=num_gpus),
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gen_config=dict(top_k=1, temperature=1, top_p=0.9, max_new_tokens=1024),
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max_out_len=1024,
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max_seq_len=2048,
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batch_size=16,
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concurrency=16,
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run_cfg=dict(num_gpus=num_gpus),
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)
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)
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