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* [Feature] Support import configs/models/summarizers from whl * Update LCBench configs * Update * Update * Update * Update * update * Update * Update * Update * Update * Update
31 lines
1.1 KiB
Python
31 lines
1.1 KiB
Python
from opencompass.models import TurboMindModel
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settings = [
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# ('qwen1.5-0.5b-turbomind', 'Qwen/Qwen1.5-0.5B', 1),
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('qwen1.5-1.8b-turbomind', 'Qwen/Qwen1.5-1.8B', 1),
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('qwen1.5-4b-turbomind', 'Qwen/Qwen1.5-4B', 1),
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('qwen1.5-7b-turbomind', 'Qwen/Qwen1.5-7B', 1),
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('qwen1.5-14b-turbomind', 'Qwen/Qwen1.5-14B', 1),
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('qwen1.5-32b-turbomind', 'Qwen/Qwen1.5-32B', 2),
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('qwen1.5-72b-turbomind', 'Qwen/Qwen1.5-72B', 4),
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('qwen1.5-110b-turbomind', 'Qwen/Qwen1.5-110B', 4),
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('qwen1.5-moe-a2.7b-turbomind', '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=TurboMindModel,
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abbr=abbr,
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path=path,
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engine_config=dict(session_len=7168, max_batch_size=8, tp=num_gpus),
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gen_config=dict(top_k=1, top_p=0.8, temperature=1.0, max_new_tokens=1024),
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max_out_len=1024,
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max_seq_len=7168,
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batch_size=8,
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concurrency=8,
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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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