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import os |
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from typing import List |
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os.environ['CUDA_VISIBLE_DEVICES'] = '0' |
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def infer_batch(engine: 'InferEngine', infer_requests: List['InferRequest']): |
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request_config = RequestConfig(max_tokens=64, temperature=0) |
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resp_list = engine.infer(infer_requests, request_config) |
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query0 = infer_requests[0].messages[0]['content'] |
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print(f'query0: {query0}') |
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print(f'response0: {resp_list[0].choices[0].message.content}') |
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def run_client(host: str = '127.0.0.1', port: int = 8000): |
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engine = InferClient(host=host, port=port) |
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print(f'models: {engine.models}') |
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infer_requests = [InferRequest(messages=[{'role': 'user', 'content': '浙江 -> 杭州\n安徽 -> 合肥\n四川 ->'}])] |
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infer_batch(engine, infer_requests) |
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if __name__ == '__main__': |
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from swift.llm import InferEngine, InferRequest, InferClient, RequestConfig, run_deploy, DeployArguments |
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with run_deploy( |
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DeployArguments( |
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model='Qwen/Qwen2.5-1.5B', verbose=False, log_interval=-1, infer_backend='pt', |
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use_chat_template=False)) as port: |
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run_client(port=port) |
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