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vLLM Omni

A framework for efficient model inference with omni-modality models, built on vLLM.

★ 6,167 GitHub Apache-2.0 vllminferencemultimodalllmdiffusionaudio LLM & Chat

Overview

vLLM Omni extends the vLLM inference engine to omni-modality models, enabling efficient serving of text, image, and audio generation and diffusion models with unified interfaces, high throughput, and low latency.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  vllm-omni:
    image: vllm/vllm-omni:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/vllm-omni:/data

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