安裝中文字典英文字典辭典工具!
安裝中文字典英文字典辭典工具!
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- Welcome to vLLM — vLLM
vLLM is a fast and easy-to-use library for LLM inference and serving 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
- GitHub - vllm-project vllm: A high-throughput and memory-efficient . . .
vLLM is a fast and easy-to-use library for LLM inference and serving 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
- Quickstart — vLLM - Read the Docs
We first show an example of using vLLM for offline batched inference on a dataset In other words, we use vLLM to generate texts for a list of input prompts Import LLM and SamplingParams from vLLM The LLM class is the main class for running offline inference with vLLM engine
- vllm·PyPI
vLLM is a fast and easy-to-use library for LLM inference and serving 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
- vLLM - vLLM 文档
vLLM 是一个用于 LLM 推理和服务的快速易用库。 vLLM 最初由加州大学伯克利分校的 Sky Computing Lab 开发，现已发展成为一个由学术界和工业界共同贡献的社区驱动项目。 优化的 CUDA 内核，包括与 FlashAttention 和 FlashInfer 的集成。 支持 NVIDIA GPU、AMD CPU 和 GPU、Intel CPU、Gaudi® 加速器和 GPU、IBM Power CPU、TPU 以及 AWS Trainium 和 Inferentia 加速器。
- vLLM - vLLM - docs. vllm. ai
vLLM is a fast and easy-to-use library for LLM inference and serving 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
- vLLM – PyTorch
vLLM is an open source library for fast, easy-to-use LLM inference and serving It optimizes hundreds of language models across diverse data-center hardware—NVIDIA and AMD GPUs, Google TPUs, AWS Trainium, Intel CPUs—using innovations such as PagedAttention, chunked prefill, multi-LoRA and automatic prefix caching
- vllm README. md at main · vllm-project vllm - GitHub
Find the full list of supported models here Install vLLM with pip or from source: Visit our documentation to learn more
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