vllm-server

What problem does it solve?

This Skill enables the deployment and management of vLLM for high-throughput LLM inference, optimizing serving performance for production environments.

Core Features & Use Cases

• Deploy LLMs: Serve open-source LLMs like Llama, Mistral, and Gemma.
• OpenAI-Compatible API: Expose self-hosted models via a familiar API endpoint.
• Performance Optimization: Configure continuous batching, tensor parallelism, and quantization for reduced latency and increased throughput.
• Use Case: Deploy a Llama-3.1-70B-Instruct model with tensor parallelism across two GPUs, serving requests via an OpenAI-compatible API for a customer-facing application.

Quick Start

Serve the meta-llama/Llama-3.1-8B-Instruct model using vLLM with an OpenAI-compatible API on port 8000.