py", line 325, in get_requires_for_build_wheel Nov 17, 2025 · This guide provides detailed instructions for installing vLLM, a high-performance inference and serving engine for Large Language Models. Please check out CONTRIBUTING. Currently the CPU implementation for macOS supports FP32 and FP16 datatypes. i suspect it is due to version compatibility and downgraded cuda from 12. Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has evolved into a community-driven project with contributions from both academia and industry. but still not working. This is because pip can install torch with separate library packages like NCCL, while conda installs torch with statically linked NCCL. Follow their code on GitHub. 10 -y $ conda activate myenv $ # Install vLLM with CUDA 12. May 29, 2025 · Deploy vLLM for 10x faster LLM inference with this step-by-step guide. 4 pip install -e . generate. Before submitting a new issue Make sure you already searched for relevant issues, and asked the chatbot living at the bottom right corner of the documentation page, which can answer lots of frequently asked questions. 2 --torch-backend=auto If you are using NVIDIA GPUs, you can install vLLM using pip directly. git $ cd vllm $ # export VLLM_INSTALL_PUNICA_KERNELS=1 # optionally build for multi-LoRA capability$ pip install -e . 4. If you want to force enable AVX512_BF16 for the cross-compilation, please set environment variable VLLM_CPU_AVX512BF16 vLLM can be deployed as a server that implements the OpenAI API protocol. You can use vLLM in batch mode, or by running an OpenAI-compatible server. Please check out Contributing to vLLM for how to get involved. `` does not work for ROCm installation It adds the input prompts to the vLLM engine’s waiting queue and executes the vLLM engine to generate the outputs with high throughput. `` does not work for ROCm installation Nov 6, 2024 · nm-vllm Overview This repo nm-vllm-ent contains all the source for the Neuralmagic Enterprise Edition of vllm. If the latest public release is v0. Although we recommend using conda to create and manage Python environments, it is highly recommended to use pip to install vLLM. It covers various installation methods including pre-built pac The piwheels project page for vllm: A high-throughput and memory-efficient inference and serving engine for LLMs Mar 14, 2025 · Installing vLLM on macOS: A Step-by-Step Guide vLLM is a powerful LLM inference and serving engine that enhances inference speed and throughput through PagedAttention, an optimized attention … # Install vLLM with CUDA 12. Mar 28, 2024 · Learn how to deploy vLLM to serve open-source LLMs efficiently Nov 30, 2024 · Execute: # (Optional) Create a new conda environment. ai/vLLM 是一个 Python 库，包含预编译的 C++ … Jul 21, 2024 · vllm is a popular python library for serving LLM. 13. pytorch. vLLM has experimental support for macOS with Apple silicon. 1 to leverage GPU acceleration, enhancing vLLM's performance. Based on the GitHub issues, it seems vllm 0. But vllm is still not available from within python. Below is a step-by-step guide to install and use vLLM on Ubuntu. Deploy AI models faster with state-of-the-art performance. 0 - a Python package on PyPI Jan 27, 2024 · The pip install vllm runs successfully. 8, and public PyTorch release versions: Browse all vLLM releases with installation commands and release notes. because the inference is highly hardware dependent, depends on your hardware, you… vLLM has 31 repositories available. Getting Started with vLLM We’ll be using PIP (Python Package Manager) to install vLLM. This parameter should be set based on the hardware configuration and memory management pattern of users. 8 and public PyTorch release versions: $ # (Recommended) Create a new conda environment. If either you have a different CUDA version or you want to use May 29, 2025 · Deploy vLLM for 10x faster LLM inference with this step-by-step guide. $ pip install vllm Note The piwheels project page for vllm: A high-throughput and memory-efficient inference and serving engine for LLMs # Install vLLM with CUDA 12. 0. ai/projects/tpu/en/latest/). If you have Python installed, all you need to do is open up a terminal and run: 安装 *在线运行 vLLM 入门教程：零基础分步指南 vLLM 支持以下硬件平台： GPU NVIDIA CUDA AMD ROCm Intel XPU CPU Intel/AMD x86 ARM AArch64 Apple silicon 其他 AI 加速器 Google TPU Intel Gaudi AWS Neuron OpenVINO Edit this page vLLM 是一款专为大语言模型推理加速而设计的框架，实现了 KV 缓存内存几乎零浪费，解决了内存管理瓶颈问题。 更多 vLLM 中文文档及教程可访问 → https://vllm. $ git clone https://github. harsht ~/temp $ pip install vllm Defaulting to user installation because normal site-packages is not writ vLLM is a high-throughput and memory-efficient inference and serving engine for Large Language Models (LLMs). Installation. vllm. Our step-by-step guide unlocks the potential for your AI projects.
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