注: 如果想让vLLM自动从modelscope 拉取模型文件,需先设置 `export VLLM_USE_MODELSCOPE=True`. from vllm import LLM from vllm import LLM, SamplingParams # enable trust_remote_code, if you use local model dir. model_dir = "xverse/XVERSE-7B-Chat-GPTQ-Int4" # Create an LLM. llm = LLM...
decode_meta.use_cuda_graph: graph_batch_size = input_tokens.shape[0] model_executable = self.graph_runners[graph_batch_size] else: model_executable = self.model # 模型具体执行,模型在vllm/model_executor/models/中有定义,这边找到qwen2.py文件 hidden_states = model_executable( input_ids=input_...
exportVLLM_USE_MODELSCOPE=True 另外一种是加载本地模型并运行 代码语言:javascript 代码运行次数:0 运行 AI代码解释 vllm serve/home/ly/qwen2.5/Qwen2.5-32B-Instruct/--tensor-parallel-size8--dtype auto--api-key123--gpu-memory-utilization0.95--max-model-len27768--enable-auto-tool-choice--tool-cal...
Specify the local folder you have the model in instead of a HF model ID. If you have all the necessary files and the model is using a supported architecture, then it will work. To serve vLLM API: #!/bin/bashMODEL_NAME="$1"test-n"$MODEL_NAME"MODEL_DIR="$HOME/models/$MODEL_NAME...
--max-model-len MAX_MODEL_LEN:指定模型的最大长度。默认为 None,表示不限制。 --worker-use-ray:启用 Ray 分布式训练模式。 --pipeline-parallel-size PIPELINE_PARALLEL_SIZE:指定管道并行的大小。默认为 None,表示不使用管道并行。 --tensor-parallel-size TENSOR_PARALLEL_SIZE:指定张量并行的大小。默认为 ...
max_model_len:最大的位置嵌入(max_position_embedding)长度,Qwen 系列的默认值是 32768。在这个配置下最大是 4096,再大就会 OOM。 enforce-eager:不太明白什么意思,似乎打开之后每张卡会有 1~3 GB 的额外显存占用,用来存储某种东西。官方的解释是:Always use eager-mode PyTorch. If False, will use eager ...
('get_node_and_gpu_ids',use_dummy_driver=True)self._run_workers('update_environment_variables',all_args=all_args_to_update_environment_variables)self._run_workers('init_worker', all_kwargs=init_worker_all_kwargs)self._run_workers('init_device')self._run_workers('load_model',max_...
Fast model execution with CUDA/HIP graph Quantization:GPTQ,AWQ,SqueezeLLM, FP8 KV Cache Optimized CUDA kernels vLLM is flexible and easy to use with: Seamless integration with popular Hugging Face models High-throughput serving with various decoding algorithms, includingparallel sampling,beam search,...
# Use CUDNN_LIBRARY when cudnn library is installed elsewhere. cudnn_cmd = 'ls /usr/local/cuda/lib/libcudnn*' else: cudnn_cmd = 'ldconfig -p | grep libcudnn | rev | cut -d" " -f1 | rev' rc, out, _ = run_lambda(cudnn_cmd) # find will return 1 if there are pe...
"model_executor/layers/quantization/utils/configs/*.json", ] } if _no_device(): ext_modules = [] if not ext_modules: cmdclass = {} else: cmdclass = { "build_ext": repackage_wheel if envs.VLLM_USE_PRECOMPILED else cmake_build_ext ...