Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism.
Key Features
- Comprehensive skill evaluation and performance tracking
- Community-driven ratings and reviews
- Easy integration with Claude Code
- Regular updates and maintenance
Quick Start
TopRank Skills install benchflow-ai/serving-llms-vllmchat Comments (0)
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Skill Details
GitHub Stars
620
GitHub Forks
199
Created
Jan 2026
Last Updated
4个月前
testing security
testing security llm ai
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