vLLM Omni
Ein auf vLLM basierendes Framework für die effiziente Modellinferenz mit Omni-Modalitäts-Modellen.
Überblick
Anforderungen
Empfohlener VPS
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
Hostinger · KVM 8
8 vCPU · 32256 MB · 400 GB
Affiliate-Hinweis
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
Verwandte Tools
NextChat
Cross-platform ChatGPT web UI with multi-model support for Ollama, Claude, Gemini, and more
Lobe Chat
Extensible, open-source ChatGPT alternative with plugins, knowledge base, and multi-LLM support
Open WebUI
User-friendly WebUI for LLMs (Ollama, OpenAI API)
text-generation-webui
Run local LLMs with a powerful web interface — text, vision, tool-calling, and OpenAI-compatible API
Streamlit
Build and share data apps in pure Python — fast
Gradio
Build and share delightful machine learning apps in Python
Anleitungen & Artikel
vLLM Omni Tutorial: Serve Text, Image & Audio Models in One Framework
Step-by-step tutorial to deploy vLLM Omni with Docker and query an omni-modality model through its OpenAI-compatible API.
vLLM Omni: The Complete Guide to Omni-Modality Inference
Learn how vLLM Omni unifies text, image, and audio inference on top of vLLM - architecture, capabilities, and deployment.