mirror of
				https://github.com/PaddlePaddle/FastDeploy.git
				synced 2025-10-31 20:02:53 +08:00 
			
		
		
		
	
		
			
				
	
	
		
			30 lines
		
	
	
		
			1.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			30 lines
		
	
	
		
			1.0 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| """
 | ||
| # Copyright (c) 2025  PaddlePaddle Authors. All Rights Reserved.
 | ||
| #
 | ||
| # Licensed under the Apache License, Version 2.0 (the "License"
 | ||
| # you may not use this file except in compliance with the License.
 | ||
| # You may obtain a copy of the License at
 | ||
| #
 | ||
| #     http://www.apache.org/licenses/LICENSE-2.0
 | ||
| #
 | ||
| # Unless required by applicable law or agreed to in writing, software
 | ||
| # distributed under the License is distributed on an "AS IS" BASIS,
 | ||
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 | ||
| # See the License for the specific language governing permissions and
 | ||
| # limitations under the License.
 | ||
| """
 | ||
| 
 | ||
| from fastdeploy.engine.sampling_params import SamplingParams
 | ||
| from fastdeploy.entrypoints.llm import LLM
 | ||
| 
 | ||
| model_name_or_path = "./models/llama-7b"
 | ||
| 
 | ||
| # 超参设置
 | ||
| sampling_params = SamplingParams(temperature=0.1, max_tokens=30)
 | ||
| llm = LLM(model=model_name_or_path, tensor_parallel_size=1)
 | ||
| output = llm.generate(prompts="who are you?",
 | ||
|                       use_tqdm=True,
 | ||
|                       sampling_params=sampling_params)
 | ||
| 
 | ||
| print(output)
 | 
