wehub-resource-sync
28 lines
1.0 KiB
Python
28 lines
1.0 KiB
Python
from swift.infer_engine import InferClient, InferRequest, RequestConfig
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def infer_multilora(engine: InferClient, infer_request: InferRequest):
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# Dynamic LoRA
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models = engine.models
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print(f'models: {models}')
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request_config = RequestConfig(max_tokens=512, temperature=0)
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# use lora1
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resp_list = engine.infer([infer_request], request_config, model=models[1])
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response = resp_list[0].choices[0].message.content
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print(f'lora1-response: {response}')
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# origin model
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resp_list = engine.infer([infer_request], request_config, model=models[0])
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response = resp_list[0].choices[0].message.content
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print(f'response: {response}')
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# use lora2
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resp_list = engine.infer([infer_request], request_config, model=models[2])
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response = resp_list[0].choices[0].message.content
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print(f'lora2-response: {response}')
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if __name__ == '__main__':
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engine = InferClient(host='127.0.0.1', port=8000)
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infer_request = InferRequest(messages=[{'role': 'user', 'content': 'who are you?'}])
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infer_multilora(engine, infer_request)
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