vLLM now haspipeline parallelism! (#4412,#5408,#6115,#6120). You can now run the API server with--pipeline-parallel-size. This feature is in early stage, please let us know your feedback. 2. 配置 ParallelConfig:
大模型头数可以查看大模型config.json中的参数:num_attention_heads。tensor_parallel_size参数需要能被部署的大模型的注意力头数整除。 tensor_parallel_size值一般会使用 2/4/8/16 个数用于模型。 (6)pipeline-parallel-size 流水线并行数量 配置示例 python3 -m vllm.entrypoints.openai.api_server --model=/...
Pipeline parallelism wassupported in V0 with the virtual-engine approach. In short, we create multiple virtual engines to match the number of pipeline stages, and each virtual engine has its own scheduler, block manager and cache engine, so that they can schedule multiple batches simultaneously to...
--pipeline-parallel-size (-pp) <size>:流水线并行阶段的数量,有助于在多个GPU间分配计算任务。 --tensor-parallel-size (-tp) <size>:张量并行副本数量,用于在单个GPU内部分割模型参数,加速计算。 日志与调试 --disable-log-stats, --disable-log-requests:禁用统计日志记录和请求日志功能,减少不必要的日志输...
We also support pipeline parallel as a beta feature for online serving. We manage the distributed runtime with either `Ray <https://github.com/ray-project/ray>`_ or python native multiprocessing. Multiprocessing can be used when deploying on a single node, multi-node inferencing currently requir...
用于分布式模型工作程序的后端,可以是“ray”或“mp”(多进程)。如果 pipeline_parallel_size 和 tensor_parallel_size 的乘积小于或等于可用 GPU 的数量,则将使用“mp”以保持在单个主机上进行处理。否则,如果安装了 Ray,这将默认为“ray”,否则将失败。请注意,tpu 仅支持 Ray 进行分布式推理。
--pipeline-parallel-size PIPELINE_PARALLEL_SIZE,-ppPIPELINE_PARALLEL_SIZE 管道阶段的数量。 --tensor-parallel-size TENSOR_PARALLEL_SIZE,-tpTENSOR_PARALLEL_SIZE 张量并行副本的数量。 --max-parallel-loading-workers MAX_PARALLEL_LOADING_WORKERS 分多批次顺序加载模型,以避免在使用张量并行和大型模型时发生RAM...
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, and more Tensor parallelism and pipeline parallelism support for distributed inference ...
inferencce pipeline 2. 整体核心模块 vLLM 核心模块之间的结构关系。接下来我们从简单的模块(即输入、采样和输出)开始介绍,最后详细介绍LLM模块。 3. Sequence 句子模块 如上图我们可以看到 vLLM 为输入的句子设计了很多子模块,这些模块的用处各不相同,但是有彼此之间有关系,下面分别详细介绍一下。
当启动参数--tensor-parallel-size > 1 时,会自动触发ray分布式部署。 1. 构建LLM engine时会对Ray集群进行初始化 # ray 集群初始化initialize_ray_cluster(engine_config.parallel_config) parallel_config的配置如下,pp=1,tp=2,world_size=2 {'pipeline_parallel_size': 1, 'tensor_parallel_size': 2, '...