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30 lines
970 B
Python
30 lines
970 B
Python
from opencompass.models import VLLM
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settings = [
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('llama-7b-vllm', 'huggyllama/llama-7b', 1),
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('llama-13b-vllm', 'huggyllama/llama-13b', 1),
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('llama-30b-vllm', 'huggyllama/llama-30b', 2),
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('llama-65b-vllm', 'huggyllama/llama-65b', 4),
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('llama-2-7b-vllm', 'meta-llama/Llama-2-7b-hf', 1),
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('llama-2-13b-vllm', 'meta-llama/Llama-2-13b-hf', 1),
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('llama-2-70b-vllm', 'meta-llama/Llama-2-70b-hf', 4),
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('llama-3-8b-vllm', 'meta-llama/Meta-Llama-3-8B', 1),
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('llama-3-70b-vllm', 'meta-llama/Meta-Llama-3-70B', 4),
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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=VLLM,
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abbr=abbr,
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path=path,
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model_kwargs=dict(tensor_parallel_size=num_gpus),
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max_out_len=100,
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max_seq_len=2048,
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batch_size=32,
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generation_kwargs=dict(temperature=0),
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run_cfg=dict(num_gpus=num_gpus, num_procs=1),
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)
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)
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