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3098aee05f
* feat(zmq): support tensor transmission with zero-copy for improved efficiency * perf: zmq.send disable copy * zmq recv data for debug * convert logprobs tensor to cpu
28 lines
1.1 KiB
Python
28 lines
1.1 KiB
Python
"""
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# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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from fastdeploy.engine.sampling_params import SamplingParams
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from fastdeploy.entrypoints.llm import LLM
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model_name_or_path = "/workspace/ERNIE-4.5-0.3B-Paddle"
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# 超参设置
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sampling_params = SamplingParams(temperature=0.1, max_tokens=30, prompt_logprobs=100)
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llm = LLM(model=model_name_or_path, tensor_parallel_size=1, enable_prefix_caching=False)
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output = llm.generate(prompts="who are you？", use_tqdm=True, sampling_params=sampling_params)
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print(output)
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